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1. A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models

Author

Ren, Feng, Aliper, Alex, Chen, Jian, Zhao, Heng, Rao, Sujata, Kuppe, Christoph, Ozerov, Ivan V., Zhang, Man, Witte, Klaus, Kruse, Chris, Aladinskiy, Vladimir, Ivanenkov, Yan, Polykovskiy, Daniil, Fu, Yanyun, Babin, Eugene, Qiao, Junwen, Liang, Xing, Mou, Zhenzhen, Wang, Hui, Pun, Frank W., Torres-Ayuso, Pedro, Veviorskiy, Alexander, Song, Dandan, Liu, Sang, Zhang, Bei, Naumov, Vladimir, Ding, Xiaoqiang, Kukharenko, Andrey, Izumchenko, Evgeny, and Zhavoronkov, Alex

Published
2025
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2. AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor

Author

Ren, Feng, Ding, Xiao, Zheng, Min, Korzinkin, Mikhail, Cai, Xin, Zhu, Wei, Mantsyzov, Alexey, Aliper, Alex, Aladinskiy, Vladimir, Cao, Zhongying, Kong, Shanshan, Long, Xi, Liu, Bonnie Hei Man, Liu, Yingtao, Naumov, Vladimir, Shneyderman, Anastasia, Ozerov, Ivan V., Wang, Ju, Pun, Frank W., Aspuru-Guzik, Alan, Levitt, Michael, and Zhavoronkov, Alex

Subjects
Quantitative Biology - Biomolecules, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Quantitative Biology - Molecular Networks
Abstract

The AlphaFold computer program predicted protein structures for the whole human genome, which has been considered as a remarkable breakthrough both in artificial intelligence (AI) application and structural biology. Despite the varying confidence level, these predicted structures still could significantly contribute to structure-based drug design of novel targets, especially the ones with no or limited structural information. In this work, we successfully applied AlphaFold in our end-to-end AI-powered drug discovery engines constituted of a biocomputational platform PandaOmics and a generative chemistry platform Chemistry42, to identify a first-in-class hit molecule of a novel target without an experimental structure starting from target selection towards hit identification in a cost- and time-efficient manner. PandaOmics provided the targets of interest and Chemistry42 generated the molecules based on the AlphaFold predicted structure, and the selected molecules were synthesized and tested in biological assays. Through this approach, we identified a small molecule hit compound for CDK20 with a Kd value of 8.9 +/- 1.6 uM (n = 4) within 30 days from target selection and after only synthesizing 7 compounds. Based on the available data, the second round of AI-powered compound generation was conducted and through which, a more potent hit molecule, ISM042-2 048, was discovered with a Kd value of 210.0 +/- 42.4 nM (n = 2), within 30 days and after synthesizing 6 compounds from the discovery of the first hit ISM042-2-001. To the best of our knowledge, this is the first reported small molecule targeting CDK20 and more importantly, this work is the first demonstration of AlphaFold application in the hit identification process in early drug discovery., Comment: 9 pages, 6 figures

Published
2022

3. Meeting Report: Aging Research and Drug Discovery

Author

Meron, Esther, Thaysen, Maria, Angeli, Suzanne, Antebi, Adam, Barzilai, Nir, Baur, Joseph A, Bekker-Jensen, Simon, Birkisdottir, Maria, Bischof, Evelyne, Bruening, Jens, Brunet, Anne, Buchwalter, Abigail, Cabreiro, Filipe, Cai, Shiqing, Chen, Brian H, Ermolaeva, Maria, Ewald, Collin Y, Ferrucci, Luigi, Florian, Maria Carolina, Fortney, Kristen, Freund, Adam, Georgievskaya, Anastasia, Gladyshev, Vadim N, Glass, David, Golato, Tyler, Gorbunova, Vera, Hoejimakers, Jan, Houtkooper, Riekelt H, Jager, Sibylle, Jaksch, Frank, Janssens, Georges, Jensen, Martin Borch, Kaeberlein, Matt, Karsenty, Gerard, de Keizer, Peter, Kennedy, Brian, Kirkland, James L, Kjaer, Michael, Kroemer, Guido, Lee, Kai-Fu, Lemaitre, Jean-Marc, Liaskos, David, Longo, Valter D, Lu, Yu-Xuan, MacArthur, Michael R, Maier, Andrea B, Manakanatas, Christina, Mitchell, Sarah J, Moskalev, Alexey, Niedernhofer, Laura, Ozerov, Ivan, Partridge, Linda, Passegué, Emmanuelle, Petr, Michael A, Peyer, James, Radenkovic, Dina, Rando, Thomas A, Rattan, Suresh, Riedel, Christian G, Rudolph, Lenhard, Ai, Ruixue, Serrano, Manuel, Schumacher, Björn, Sinclair, David A, Smith, Ryan, Suh, Yousin, Taub, Pam, Trapp, Alexandre, Trendelenburg, Anne-Ulrike, Valenzano, Dario Riccardo, Verburgh, Kris, Verdin, Eric, Vijg, Jan, Westendorp, Rudi GJ, Zonari, Alessandra, Bakula, Daniela, Zhavoronkov, Alex, and Scheibye-Knudsen, Morten

Subjects
Aging, aging, drug discovery, conference, AI, longevity, Biochemistry and Cell Biology, Physiology, Oncology and Carcinogenesis, Developmental Biology
Abstract

Aging is the single largest risk factor for most chronic diseases, and thus possesses large socioeconomic interest to continuously aging societies. Consequently, the field of aging research is expanding alongside a growing focus from the industry and investors in aging research. This year's 8th Annual Aging Research and Drug Discovery (ARDD) meeting was organized as a hybrid meeting from August 30th to September 3rd 2021 with more than 130 attendees participating on-site at the Ceremonial Hall at University of Copenhagen, Denmark, and 1800 engaging online. The conference comprised of presentations from 75 speakers focusing on new research in topics including mechanisms of aging and how these can be modulated as well as the use of AI and new standards of practices within aging research. This year, a longevity workshop was included to build stronger connections with the clinical community.

Published
2022

5. PRMT5 inhibition has a potent anti-tumor activity against adenoid cystic carcinoma of salivary glands.

Author

Mishra, Vasudha, Singh, Alka, Korzinkin, Michael, Cheng, Xiangying, Wing, Claudia, Sarkisova, Viktoria, Koppayi, Ashwin L., Pogorelskaya, Alexandra, Glushchenko, Oksana, Sundaresan, Manu, Thodima, Venkat, Carter, Jack, Ito, Koichi, Scherle, Peggy, Trzcinska, Anna, Ozerov, Ivan, Vokes, Everett E., Cole, Grayson, Pun, Frank W., and Shen, Le

Subjects
ADENOID cystic carcinoma, MEDICAL sciences, SALIVARY glands, DISEASE relapse, RESPONSE inhibition
Abstract

Background: Adenoid cystic carcinoma (ACC) is a rare glandular malignancy, commonly originating in salivary glands of the head and neck. Given its protracted growth, ACC is usually diagnosed in advanced stage. Treatment of ACC is limited to surgery and/or adjuvant radiotherapy, which often fails to prevent disease recurrence, and no FDA-approved targeted therapies are currently available. As such, identification of new therapeutic targets specific to ACC is crucial for improved patients' outcomes. Methods: After thoroughly evaluating the gene expression and signaling patterns characterizing ACC, we applied PandaOmics (an AI-driven software platform for novel therapeutic target discovery) on the unique transcriptomic dataset of 87 primary ACCs. Identifying protein arginine methyl transferase 5 (PRMT5) as a putative candidate with the top-scored druggability, we next determined the applicability of PRMT5 inhibitors (PRT543 and PRT811) using ACC cell lines, organoids, and patient derived xenograft (PDX) models. Molecular changes associated with response to PRMT5 inhibition and anti-proliferative effect of the combination therapy with lenvatinib was then analyzed. Results: Using a comprehensive AI-powered engine for target identification, PRMT5 was predicted among potential therapeutic target candidates for ACC. Here we show that monotherapy with selective PRMT5 inhibitors induced a potent anti-tumor activity across several cellular and animal models of ACC, which was paralleled by downregulation of genes associated with ACC tumorigenesis, including MYB and MYC (the recognized drivers of ACC progression). Furthermore, as a subset of genes targeted by lenvatinib is upregulated in ACC, we demonstrate that addition of lenvatinib enhanced the growth inhibitory effect of PRMT5 blockade in vitro, suggesting a potential clinical benefit for patients expressing lenvatinib favorable molecular profile. Conclusion: Taken together, our study underscores the role of PRMT5 in ACC oncogenesis and provides a strong rationale for the clinical development of PRMT5 inhibitors as a targeted monotherapy or combination therapy for treatment of patients with this rare disease, based on the analysis of their underlying molecular profile. [ABSTRACT FROM AUTHOR]

Published
2025
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6. Aging and drug discovery

Author

Bakula, Daniela, Aliper, Alexander M, Mamoshina, Polina, Petr, Michael A, Teklu, Amanuel, Baur, Joseph A, Campisi, Judith, Ewald, Collin Y, Georgievskaya, Anastasia, Gladyshev, Vadim N, Kovalchuk, Olga, Lamming, Dudley W, Luijsterburg, Martijn S, Martín-Montalvo, Alejandro, Maudsley, Stuart, Mkrtchyan, Garik V, Moskalev, Alexey, Olshansky, S Jay, Ozerov, Ivan V, Pickett, Alexander, Ristow, Michael, Zhavoronkov, Alex, and Scheibye-Knudsen, Morten

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Clinical Sciences, Biological Sciences, Aging, 5.1 Pharmaceuticals, 5.9 Resources and infrastructure (treatment development), Generic health relevance, Good Health and Well Being, aging, drug discovery, Biochemistry and cell biology, Clinical sciences
Abstract

Multiple interventions in the aging process have been discovered to extend the healthspan of model organisms. Both industry and academia are therefore exploring possible transformative molecules that target aging and age-associated diseases. In this overview, we summarize the presented talks and discussion points of the 5th Annual Aging and Drug Discovery Forum 2018 in Basel, Switzerland. Here academia and industry came together, to discuss the latest progress and issues in aging research. The meeting covered talks about the mechanistic cause of aging, how longevity signatures may be highly conserved, emerging biomarkers of aging, possible interventions in the aging process and the use of artificial intelligence for aging research and drug discovery. Importantly, a consensus is emerging both in industry and academia, that molecules able to intervene in the aging process may contain the potential to transform both societies and healthcare.

Published
2018

9. Defining the progeria phenome

Author

Worm, Cecilie, Schambye, Maya Elena Ramirez, Mkrtchyan, Garik V., Veviorskiy, Alexander, Shneyderman, Anastasia, Ozerov, Ivan V., Zhavoronkov, Alex, Bakula, Daniela, Scheibye-Knudsen, Morten, Worm, Cecilie, Schambye, Maya Elena Ramirez, Mkrtchyan, Garik V., Veviorskiy, Alexander, Shneyderman, Anastasia, Ozerov, Ivan V., Zhavoronkov, Alex, Bakula, Daniela, and Scheibye-Knudsen, Morten

Abstract

Progeroid disorders are a heterogenous group of rare and complex hereditary syndromes presenting with pleiotropic phenotypes associated with normal aging. Due to the large variation in clinical presentation the diseases pose a diagnostic challenge for clinicians which consequently restricts medical research. To accommodate the challenge, we compiled a list of known progeroid syndromes and calculated the mean prevalence of their associated phenotypes, defining what we term the ‘progeria phenome’. The data were used to train a support vector machine that is available at https://www.mitodb.com and able to classify progerias based on phenotypes. Furthermore, this allowed us to investigate the correlation of progeroid syndromes and syndromes with various pathogenesis using hierarchical clustering algorithms and disease networks. We detected that ataxia-telangiectasia like disorder 2, spastic paraplegia 49 and Meier-Gorlin syndrome display strong association to progeroid syndromes, thereby implying that the syndromes are previously unrecognized progerias. In conclusion, our study has provided tools to evaluate the likelihood of a syndrome or patient being progeroid. This is a considerable step forward in our understanding of what constitutes a premature aging disorder and how to diagnose them., Progeroid disorders are a heterogenous group of rare and complex hereditary syndromes presenting with pleiotropic phenotypes associated with normal aging. Due to the large variation in clinical presentation the diseases pose a diagnostic challenge for clinicians which consequently restricts medical research. To accommodate the challenge, we compiled a list of known progeroid syndromes and calculated the mean prevalence of their associated phenotypes, defining what we term the ‘progeria phenome’. The data were used to train a support vector machine that is available at https://www.mitodb.com and able to classify progerias based on phenotypes. Furthermore, this allowed us to investigate the correlation of progeroid syndromes and syndromes with various pathogenesis using hierarchical clustering algorithms and disease networks. We detected that ataxia-telangiectasia like disorder 2, spastic paraplegia 49 and Meier-Gorlin syndrome display strong association to progeroid syndromes, thereby implying that the syndromes are previously unrecognized progerias. In conclusion, our study has provided tools to evaluate the likelihood of a syndrome or patient being progeroid. This is a considerable step forward in our understanding of what constitutes a premature aging disorder and how to diagnose them.

Published
2024

10. Immune profiles in primary squamous cell carcinoma of the head and neck

Author

Saloura, Vassiliki, Izumchenko, Evgeny, Zuo, Zhixiang, Bao, Riyue, Korzinkin, Michael, Ozerov, Ivan, Zhavoronkov, Alex, Sidransky, David, Bedi, Atul, Hoque, Mohammad O., Koeppen, Hartmut, Keck, Michaela K., Khattri, Arun, London, Nyall, Kotlov, Nikita, Fatima, Aiman, Vougiouklakis, Theodore, Nakamura, Yusuke, Lingen, Mark, Agrawal, Nishant, Savage, Peter A., Kron, Stephen, Kline, Justin, Kowanetz, Marcin, and Seiwert, Tanguy Y.

Published
2019
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11. Defining the progeria phenome

Author

Worm, Cecilie, primary, Schambye, Maya Elena Ramirez, additional, Mkrtchyan, Garik V., additional, Veviorskiy, Alexander, additional, Shneyderman, Anastasia, additional, Ozerov, Ivan V., additional, Zhavoronkov, Alex, additional, Bakula, Daniela, additional, and Scheibye-Knudsen, Morten, additional

Published
2024
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12. PIM1 kinase promotes gallbladder cancer cell proliferation via inhibition of proline-rich Akt substrate of 40 kDa (PRAS40)

Author

Subbannayya, Tejaswini, Leal-Rojas, Pamela, Zhavoronkov, Alex, Ozerov, Ivan V., Korzinkin, Mikhail, Babu, Niraj, Radhakrishnan, Aneesha, Chavan, Sandip, Raja, Remya, Pinto, Sneha M., Patil, Arun H., Barbhuiya, Mustafa A., Kumar, Prashant, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod K., Kumar, Rekha Vijay, Prasad, T. S. Keshava, Roa, Juan Carlos, Pandey, Akhilesh, Sidransky, David, Gowda, Harsha, Izumchenko, Evgeny, and Chatterjee, Aditi

Published
2019
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13. A comprehensive AI‐driven analysis of large‐scale omic datasets reveals novel dual‐purpose targets for the treatment of cancer and aging

Author

Pun, Frank W., primary, Leung, Geoffrey Ho Duen, additional, Leung, Hoi Wing, additional, Rice, Jared, additional, Schmauck‐Medina, Tomas, additional, Lautrup, Sofie, additional, Long, Xi, additional, Liu, Bonnie Hei Man, additional, Wong, Chun Wai, additional, Ozerov, Ivan V., additional, Aliper, Alex, additional, Ren, Feng, additional, Rosenberg, Ari J., additional, Agrawal, Nishant, additional, Izumchenko, Evgeny, additional, Fang, Evandro F., additional, and Zhavoronkov, Alex, additional

Published
2023
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14. Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Author

Zagirova, Diana, primary, Pushkov, Stefan, additional, Leung, Geoffrey Ho Duen, additional, Liu, Bonnie Hei Man, additional, Urban, Anatoly, additional, Sidorenko, Denis, additional, Kalashnikov, Aleksandr, additional, Kozlova, Ekaterina, additional, Naumov, Vladimir, additional, Pun, Frank W., additional, Ozerov, Ivan V., additional, Aliper, Alex, additional, and Zhavoronkov, Alex, additional

Published
2023
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17. Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform

Author

Olsen, Andrea, primary, Harpaz, Zachary, additional, Ren, Christopher, additional, Shneyderman, Anastasia, additional, Veviorskiy, Alexander, additional, Dralkina, Maria, additional, Konnov, Simon, additional, Shcheglova, Olga, additional, Pun, Frank W., additional, Leung, Geoffrey Ho Duen, additional, Leung, Hoi Wing, additional, Ozerov, Ivan V., additional, Aliper, Alex, additional, Korzinkin, Mikhail, additional, and Zhavoronkov, Alex, additional

Published
2023
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19. AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor

Author

Ren, Feng, primary, Ding, Xiao, additional, Zheng, Min, additional, Korzinkin, Mikhail, additional, Cai, Xin, additional, Zhu, Wei, additional, Mantsyzov, Alexey, additional, Aliper, Alex, additional, Aladinskiy, Vladimir, additional, Cao, Zhongying, additional, Kong, Shanshan, additional, Long, Xi, additional, Man Liu, Bonnie Hei, additional, Liu, Yingtao, additional, Naumov, Vladimir, additional, Shneyderman, Anastasia, additional, Ozerov, Ivan V., additional, Wang, Ju, additional, Pun, Frank W., additional, Polykovskiy, Daniil A., additional, Sun, Chong, additional, Levitt, Michael, additional, Aspuru-Guzik, Alán, additional, and Zhavoronkov, Alex, additional

Published
2023
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20. Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform

Author

Pun, Frank W., primary, Liu, Bonnie Hei Man, additional, Long, Xi, additional, Leung, Hoi Wing, additional, Leung, Geoffrey Ho Duen, additional, Mewborne, Quinlan T., additional, Gao, Junli, additional, Shneyderman, Anastasia, additional, Ozerov, Ivan V., additional, Wang, Ju, additional, Ren, Feng, additional, Aliper, Alexander, additional, Bischof, Evelyne, additional, Izumchenko, Evgeny, additional, Guan, Xiaoming, additional, Zhang, Ke, additional, Lu, Bai, additional, Rothstein, Jeffrey D., additional, Cudkowicz, Merit E., additional, and Zhavoronkov, Alex, additional

Published
2022
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21. Meeting Report:Aging Research and Drug Discovery

Author

Meron, Esther, Thaysen, Maria, Angeli, Suzanne, Antebi, Adam, Barzilai, Nir, Baur, Joseph A., Bekker-Jensen, Simon, Birkisdottir, Maria, Bischof, Evelyne, Bruening, Jens, Brunet, Anne, Buchwalter, Abigail, Cabreiro, Filipe, Cai, Shiqing, Chen, Brian H., Ermolaeva, Maria, Ewald, Collin Y., Ferrucci, Luigi, Florian, Maria Carolina, Fortney, Kristen, Freund, Adam, Georgievskaya, Anastasia, Gladyshev, Vadim N., Glass, David, Golato, Tyler, Gorbunova, Vera, Hoejimakers, Jan, Houtkooper, Riekelt H., Jager, Sibylle, Jaksch, Frank, Janssens, Georges, Jensen, Martin Borch, Kaeberlein, Matt, Karsenty, Gerard, de Keizer, Peter, Kennedy, Brian, Kirkland, James L., Kjaer, Michael, Kroemer, Guido, Lee, Kai Fu, Lemaitre, Jean Marc, Liaskos, David, Longo, Valter D., Lu, Yu Xuan, MacArthur, Michael R., Maier, Andrea B., Manakanatas, Christina, Mitchell, Sarah J., Moskalev, Alexey, Niedernhofer, Laura, Ozerov, Ivan, Partridge, Linda, Passegué, Emmanuelle, Petr, Michael A., Peyer, James, Radenkovic, Dina, Rando, Thomas A., Rattan, Suresh, Riedel, Christian G., Rudolph, Lenhard, Ai, Ruixue, Serrano, Manuel, Schumacher, Björn, Sinclair, David A., Smith, Ryan, Suh, Yousin, Taub, Pam, Trapp, Alexandre, Trendelenburg, Anne Ulrike, Valenzano, Dario Riccardo, Verburgh, Kris, Verdin, Eric, Vijg, Jan, Westendorp, Rudi G.J., Zonari, Alessandra, Bakula, Daniela, Zhavoronkov, Alex, Scheibye-Knudsen, Morten, Meron, Esther, Thaysen, Maria, Angeli, Suzanne, Antebi, Adam, Barzilai, Nir, Baur, Joseph A., Bekker-Jensen, Simon, Birkisdottir, Maria, Bischof, Evelyne, Bruening, Jens, Brunet, Anne, Buchwalter, Abigail, Cabreiro, Filipe, Cai, Shiqing, Chen, Brian H., Ermolaeva, Maria, Ewald, Collin Y., Ferrucci, Luigi, Florian, Maria Carolina, Fortney, Kristen, Freund, Adam, Georgievskaya, Anastasia, Gladyshev, Vadim N., Glass, David, Golato, Tyler, Gorbunova, Vera, Hoejimakers, Jan, Houtkooper, Riekelt H., Jager, Sibylle, Jaksch, Frank, Janssens, Georges, Jensen, Martin Borch, Kaeberlein, Matt, Karsenty, Gerard, de Keizer, Peter, Kennedy, Brian, Kirkland, James L., Kjaer, Michael, Kroemer, Guido, Lee, Kai Fu, Lemaitre, Jean Marc, Liaskos, David, Longo, Valter D., Lu, Yu Xuan, MacArthur, Michael R., Maier, Andrea B., Manakanatas, Christina, Mitchell, Sarah J., Moskalev, Alexey, Niedernhofer, Laura, Ozerov, Ivan, Partridge, Linda, Passegué, Emmanuelle, Petr, Michael A., Peyer, James, Radenkovic, Dina, Rando, Thomas A., Rattan, Suresh, Riedel, Christian G., Rudolph, Lenhard, Ai, Ruixue, Serrano, Manuel, Schumacher, Björn, Sinclair, David A., Smith, Ryan, Suh, Yousin, Taub, Pam, Trapp, Alexandre, Trendelenburg, Anne Ulrike, Valenzano, Dario Riccardo, Verburgh, Kris, Verdin, Eric, Vijg, Jan, Westendorp, Rudi G.J., Zonari, Alessandra, Bakula, Daniela, Zhavoronkov, Alex, and Scheibye-Knudsen, Morten

Abstract

Aging is the single largest risk factor for most chronic diseases, and thus possesses large socioeconomic interest to continuously aging societies. Consequently, the field of aging research is expanding alongside a growing focus from the industry and investors in aging research. This year's 8th Annual Aging Research and Drug Discovery (ARDD) meeting was organized as a hybrid meeting from August 30th to September 3rd 2021 with more than 130 attendees participating on-site at the Ceremonial Hall at University of Copenhagen, Denmark, and 1800 engaging online. The conference comprised of presentations from 75 speakers focusing on new research in topics including mechanisms of aging and how these can be modulated as well as the use of AI and new standards of practices within aging research. This year, a longevity workshop was included to build stronger connections with the clinical community.

Published
2022

22. Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine

Author

Pun, Frank W., primary, Leung, Geoffrey Ho Duen, additional, Leung, Hoi Wing, additional, Liu, Bonnie Hei Man, additional, Long, Xi, additional, Ozerov, Ivan V., additional, Wang, Ju, additional, Ren, Feng, additional, Aliper, Alexander, additional, Izumchenko, Evgeny, additional, Moskalev, Alexey, additional, de Magalhães, João Pedro, additional, and Zhavoronkov, Alex, additional

Published
2022
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23. Correction: Targeting focal adhesion kinase overcomes erlotinib resistance in smoke induced lung cancer by altering phosphorylation of epidermal growth factor receptor

Author

Solanki, Hitendra S., primary, Raja, Remya, additional, Zhavoronkov, Alex, additional, Ozerov, Ivan V., additional, Artemov, Artem V., additional, Advani, Jayshree, additional, Radhakrishnan, Aneesha, additional, Babu, Niraj, additional, Puttamallesh, Vinuth N., additional, Syed, Nazia, additional, Nanjappa, Vishalakshi, additional, Subbannayya, Tejaswini, additional, Sahasrabuddhe, Nandini A., additional, Patil, Arun H., additional, Prasad, T.S. Keshava, additional, Gaykalova, Daria, additional, Chang, Xiaofei, additional, Sathyendran, Rachana, additional, Prakash Mathur, Premendu, additional, Rangarajan, Annapoorni, additional, Sidransky, David, additional, Pandey, Akhilesh, additional, Izumchenko, Evgeny, additional, Gowda, Harsha, additional, and Chatterjee, Aditi, additional

Published
2021
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24. Doublecortin-Like Kinase 1 (DCLK1) Is a Novel NOTCH Pathway Signaling Regulator in Head and Neck Squamous Cell Carcinoma

Author

Broner, Esther C., primary, Trujillo, Jonathan A., additional, Korzinkin, Michael, additional, Subbannayya, Tejaswini, additional, Agrawal, Nishant, additional, Ozerov, Ivan V., additional, Zhavoronkov, Alex, additional, Rooper, Lisa, additional, Kotlov, Nikita, additional, Shen, Le, additional, Pearson, Alexander T., additional, Rosenberg, Ari J., additional, Savage, Peter A., additional, Mishra, Vasudha, additional, Chatterjee, Aditi, additional, Sidransky, David, additional, and Izumchenko, Evgeny, additional

Published
2021
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25. COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity

Author

Naumov, Vladimir, primary, Putin, Evgeny, additional, Pushkov, Stefan, additional, Kozlova, Ekaterina, additional, Romantsov, Konstantin, additional, Kalashnikov, Alexander, additional, Galkin, Fedor, additional, Tihonova, Nina, additional, Shneyderman, Anastasia, additional, Galkin, Egor, additional, Zinkevich, Arsenii, additional, Cope, Stephanie M., additional, Sethuraman, Ramanathan, additional, Oprea, Tudor I., additional, Pearson, Alexander T., additional, Tay, Savas, additional, Agrawal, Nishant, additional, Dubovenko, Alexey, additional, Vanhaelen, Quentin, additional, Ozerov, Ivan, additional, Aliper, Alex, additional, Izumchenko, Evgeny, additional, and Zhavoronkov, Alex, additional

Published
2021
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26. COVIDomic:A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity

Author

Naumov, Vladimir, Putin, Evgeny, Pushkov, Stefan, Kozlova, Ekaterina, Romantsov, Konstantin, Kalashnikov, Alexander, Galkin, Fedor, Tihonova, Nina, Shneyderman, Anastasia, Galkin, Egor, Zinkevich, Arsenii, Cope, Stephanie M., Sethuraman, Ramanathan, Oprea, Tudor I., Pearson, Alexander T., Tay, Savas, Agrawal, Nishant, Dubovenko, Alexey, Vanhaelen, Quentin, Ozerov, Ivan, Aliper, Alex, Izumchenko, Evgeny, Zhavoronkov, Alex, Naumov, Vladimir, Putin, Evgeny, Pushkov, Stefan, Kozlova, Ekaterina, Romantsov, Konstantin, Kalashnikov, Alexander, Galkin, Fedor, Tihonova, Nina, Shneyderman, Anastasia, Galkin, Egor, Zinkevich, Arsenii, Cope, Stephanie M., Sethuraman, Ramanathan, Oprea, Tudor I., Pearson, Alexander T., Tay, Savas, Agrawal, Nishant, Dubovenko, Alexey, Vanhaelen, Quentin, Ozerov, Ivan, Aliper, Alex, Izumchenko, Evgeny, and Zhavoronkov, Alex

Abstract

Author summary This article introduces COVIDomic, a new integrative multi-omics online platform designed to facilitate the analysis of the large amount of health data collected from COVID-19 patients. The COVIDomic platform includes a user-friendly interface and provides a set of bioinformatics tools for the analysis of multi-modal metatranscriptomic data to determine the origin of the coronavirus strain and the expected severity of the disease. An analytical workflow includes microbial pathogens community analysis, COVID-19 genetic epidemiology and patient stratification. These features allow studying the presence of common microbial organisms, their antibiotic resistance and the severity of the infection, as well as obtaining insights on the geographical locations from which the strain could have originated. Such openly distributed multi-modal platform will greatly accelerate the ongoing COVID-19 research and improve our readiness to respond to other infectious outbreaks.Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several strains of SARS-CoV-2 have been identified. To gain a better understanding of the wide variety of SARS-CoV-2 strains and their associated symptoms, thousands of SARS-CoV-2 genomes have been sequenced in dozens of countries. In this article, we introduce COVIDomic, a multi-omics online platform designed to facilitate the analysis and interpretation of the large amount of health data collected from patients with COVID-19. The COVIDomic platform provides a comprehensive set of bioinformatic tools for the multi-modal metatranscriptomic data analysis of COVID-19 patients to determine the origin of the coronavirus strain and the expected severity of the disease. An integrative analytical workflow, which includes microbial pathogens community analy

Published
2021

28. Radioprotectors.org: an open database of known and predicted radioprotectors

Author

Aliper, Alexander M., primary, Bozdaganyan, Marine E., additional, Sarkisova, Viktoria A., additional, Veviorsky, Alexander P., additional, Ozerov, Ivan V., additional, Orekhov, Philipp S., additional, Korzinkin, Mikhail B., additional, Moskalev, Alexey, additional, Zhavoronkov, Alex, additional, and Osipov, Andreyan N., additional

Published
2020
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30. Formation of γH2AX and pATM Foci in Human Mesenchymal Stem Cells Exposed to Low Dose-Rate Gamma-Radiation

Author

Ulyanenko, Stepan, primary, Pustovalova, Margarita, additional, Koryakin, Sergey, additional, Beketov, Evgenii, additional, Lychagin, Anatolii, additional, Ulyanenko, Liliya, additional, Kaprin, Andrey, additional, Grekhova, Anna, additional, M. Ozerova, Alexandra, additional, V. Ozerov, Ivan, additional, Vorobyeva, Natalia, additional, Shegay, Peter, additional, Ivanov, Sergey, additional, Leonov, Sergey, additional, Klokov, Dmitry, additional, and Osipov, Andreyan N., additional

Published
2019
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31. Latest advances in aging research and drug discovery

Author

Bakula, Daniela, Ablasser, Andrea, Aguzzi, Adriano, Antebi, Adam, Barzilai, Nir, Bittner, Martin-Immanuel, Jensen, Martin Borch, Calkhoven, Cornelis F., Chen, Danica, de Grey, Aubrey D. N. J., Feige, Jerome N., Georgievskaya, Anastasia, Gladyshev, Vadim N., Golato, Tyler, Gudkov, Andrei V., Hoppe, Thorsten, Kaeberlein, Matt, Katajisto, Pekka, Kennedy, Brian K., Lal, Unmesh, Martin-Villalba, Ana, Moskalev, Alexey A., Ozerov, Ivan, Petr, Michael A., Rubinsztein, David C., Tyshkovskiy, Alexander, Vanhaelen, Quentin, Zhavoronkov, Alex, Scheibye-Knudsen, Morten, Bakula, Daniela, Ablasser, Andrea, Aguzzi, Adriano, Antebi, Adam, Barzilai, Nir, Bittner, Martin-Immanuel, Jensen, Martin Borch, Calkhoven, Cornelis F., Chen, Danica, de Grey, Aubrey D. N. J., Feige, Jerome N., Georgievskaya, Anastasia, Gladyshev, Vadim N., Golato, Tyler, Gudkov, Andrei V., Hoppe, Thorsten, Kaeberlein, Matt, Katajisto, Pekka, Kennedy, Brian K., Lal, Unmesh, Martin-Villalba, Ana, Moskalev, Alexey A., Ozerov, Ivan, Petr, Michael A., Rubinsztein, David C., Tyshkovskiy, Alexander, Vanhaelen, Quentin, Zhavoronkov, Alex, and Scheibye-Knudsen, Morten

Abstract

An increasing aging population poses a significant challenge to societies worldwide. A better understanding of the molecular, cellular, organ, tissue, physiological, psychological, and even sociological changes that occur with aging is needed in order to treat age-associated diseases. The field of aging research is rapidly expanding with multiple advances transpiring in many previously disconnected areas. Several major pharmaceutical, biotechnology, and consumer companies made aging research a priority and are building internal expertise, integrating aging research into traditional business models and exploring new go-to-market strategies. Many of these efforts are spearheaded by the latest advances in artificial intelligence, namely deep learning, including generative and reinforcement learning. To facilitate these trends, the Center for Healthy Aging at the University of Copenhagen and Insilico Medicine are building a community of Key Opinion Leaders (KOLs) in these areas and launched the annual conference series titled Aging Research and Drug Discovery (ARDD) held in the capital of the pharmaceutical industry, Basel, Switzerland (www.agingpharma.org). This ARDD collection contains summaries from the 6th annual meeting that explored aging mechanisms and new interventions in age-associated diseases. The 7th annual ARDD exhibition will transpire 2nd-4th of September, 2020, in Basel.

Published
2019

33. Abstract 4512: Doublecortin-like kinase 1 (DCLK1) correlates with Notch pathway signaling, controls metastatic characteristics in head and neck cancer

Author

Broner, Esther Channah, primary, Subbannayya, Tejaswini, additional, Advani, Jayshree, additional, Zhavoronkov, Alex, additional, Artemov, Artem, additional, Ozerov, Ivan, additional, Sloma, Ido, additional, Gowda, Harsha, additional, Sidransky, David, additional, Izumchenko, Eugene, additional, and Chatterjee, Aditi, additional

Published
2018
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34. Vive la radiorésistance!:Converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization

Author

Cortese, Franco, Klokov, Dmitry, Osipov, Andreyan, Stefaniak, Jakub, Moskalev, Alexey, Schastnaya, Jane, Cantor, Charles, Aliper, Alexander, Mamoshina, Polina, Ushakov, Igor, Sapetsky, Alex, Vanhaelen, Quentin, Alchinova, Irina, Karganov, Mikhail, Kovalchuk, Olga, Wilkins, Ruth, Shtemberg, Andrey, Moreels, Marjan, Baatout, Sarah, Izumchenko, Evgeny, de Magalhães, João Pedro, Artemov, Artem V., Costes, Sylvain V., Beheshti, Afshin, Mao, Xiao Wen, Pecaut, Michael J., Kaminskiy, Dmitry, Ozerov, Ivan V., Scheibye-Knudsen, Morten, Zhavoronkov, Alex, Cortese, Franco, Klokov, Dmitry, Osipov, Andreyan, Stefaniak, Jakub, Moskalev, Alexey, Schastnaya, Jane, Cantor, Charles, Aliper, Alexander, Mamoshina, Polina, Ushakov, Igor, Sapetsky, Alex, Vanhaelen, Quentin, Alchinova, Irina, Karganov, Mikhail, Kovalchuk, Olga, Wilkins, Ruth, Shtemberg, Andrey, Moreels, Marjan, Baatout, Sarah, Izumchenko, Evgeny, de Magalhães, João Pedro, Artemov, Artem V., Costes, Sylvain V., Beheshti, Afshin, Mao, Xiao Wen, Pecaut, Michael J., Kaminskiy, Dmitry, Ozerov, Ivan V., Scheibye-Knudsen, Morten, and Zhavoronkov, Alex

Abstract

While many efforts have been made to pave the way toward human space colonization, little consideration has been given to the methods of protecting spacefarers against harsh cosmic and local radioactive environments and the high costs associated with protection from the deleterious physiological effects of exposure to high-Linear energy transfer (high-LET) radiation. Herein, we lay the foundations of a roadmap toward enhancing human radioresistance for the purposes of deep space colonization and exploration. We outline future research directions toward the goal of enhancing human radioresistance, including upregulation of endogenous repair and radioprotective mechanisms, possible leeways into gene therapy in order to enhance radioresistance via the translation of exogenous and engineered DNA repair and radioprotective mechanisms, the substitution of organic molecules with fortified isoforms, and methods of slowing metabolic activity while preserving cognitive function. We conclude by presenting the known associations between radioresistance and longevity, and articulating the position that enhancing human radioresistance is likely to extend the healthspan of human spacefarers as well.

Published
2018

35. Aging and drug discovery

Author

German Research Foundation, Swiss National Science Foundation, National Institutes of Health (US), Ministry of Education and Science of the Russian Federation, University of Wisconsin-Madison, Progeria Research Foundation, American Federation for Aging Research, Leiden University, Netherlands Organization for Scientific Research, Instituto de Salud Carlos III, European Commission, Research Foundation - Flanders, Glenn Foundation for Medical Research, Danish Cancer Society Research Center, Independent Research Fund Denmark, Novo Nordisk Foundation, Bakula, Daniela, Aliper, Alexander M., Mamoshina, Polina, Petr, Michael A., Teklu, Amanuel, Baur, Joseph A., Campisi, Judith, Ewald, Collin Y., Georgievskaya, Anastasia, Gladyshev, Vadim N., Kovalchuk, Olga, Lamming, Dudley W., Luijsterburg, Martijn S., Martín-Montalvo, Alejandro, Maudsley, Stuart, Mkrtchyan, Garik V., Moskalev, Alexey, Olshansky, S. Jay, Ozerov,Ivan V., Pickett, Alexander, Ristow, Michael, Zhavoronkov,Alex, Scheibye-Knudsen, Morten, German Research Foundation, Swiss National Science Foundation, National Institutes of Health (US), Ministry of Education and Science of the Russian Federation, University of Wisconsin-Madison, Progeria Research Foundation, American Federation for Aging Research, Leiden University, Netherlands Organization for Scientific Research, Instituto de Salud Carlos III, European Commission, Research Foundation - Flanders, Glenn Foundation for Medical Research, Danish Cancer Society Research Center, Independent Research Fund Denmark, Novo Nordisk Foundation, Bakula, Daniela, Aliper, Alexander M., Mamoshina, Polina, Petr, Michael A., Teklu, Amanuel, Baur, Joseph A., Campisi, Judith, Ewald, Collin Y., Georgievskaya, Anastasia, Gladyshev, Vadim N., Kovalchuk, Olga, Lamming, Dudley W., Luijsterburg, Martijn S., Martín-Montalvo, Alejandro, Maudsley, Stuart, Mkrtchyan, Garik V., Moskalev, Alexey, Olshansky, S. Jay, Ozerov,Ivan V., Pickett, Alexander, Ristow, Michael, Zhavoronkov,Alex, and Scheibye-Knudsen, Morten

Abstract

Multiple interventions in the aging process have been discovered to extend the healthspan of model organisms. Both industry and academia are therefore exploring possible transformative molecules that target aging and age‐associated diseases. In this overview, we summarize the presented talks and discussion points of the 5th Annual Aging and Drug Discovery Forum 2018 in Basel, Switzerland. Here academia and industry came together, to discuss the latest progress and issues in aging research. The meeting covered talks about the mechanistic cause of aging, how longevity signatures may be highly conserved, emerging biomarkers of aging, possible interventions in the aging process and the use of artificial intelligence for aging research and drug discovery. Importantly, a consensus is emerging both in industry and academia, that molecules able to intervene in the aging process may contain the potential to transform both societies and healthcare

Published
2018

36. Targeting focal adhesion kinase overcomes erlotinib resistance in smoke induced lung cancer by altering phosphorylation of epidermal growth factor receptor

Author

Solanki, Hitendra S., primary, Raja, Remya, additional, Zhavoronkov, Alex, additional, Ozerov, Ivan V., additional, Artemov, Artem V., additional, Advani, Jayshree, additional, Radhakrishnan, Aneesha, additional, Babu, Niraj, additional, Puttamallesh, Vinuth N., additional, Syed, Nazia, additional, Nanjappa, Vishalakshi, additional, Subbannayya, Tejaswini, additional, Sahasrabuddhe, Nandini A., additional, Patil, Arun H., additional, Prasad, T.S. Keshava, additional, Gaykalova, Daria, additional, Chang, Xiaofei, additional, Sathyendran, Rachana, additional, Mathur, Premendu Prakash, additional, Rangarajan, Annapoorni, additional, Sidransky, David, additional, Pandey, Akhilesh, additional, Izumchenko, Evgeny, additional, Gowda, Harsha, additional, and Chatterjee, Aditi, additional

Published
2018
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37. Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer immunotherapy

Author

Ravi, Rajani, primary, Noonan, Kimberly A., additional, Pham, Vui, additional, Bedi, Rishi, additional, Zhavoronkov, Alex, additional, Ozerov, Ivan V., additional, Makarev, Eugene, additional, V. Artemov, Artem, additional, Wysocki, Piotr T., additional, Mehra, Ranee, additional, Nimmagadda, Sridhar, additional, Marchionni, Luigi, additional, Sidransky, David, additional, Borrello, Ivan M., additional, Izumchenko, Evgeny, additional, and Bedi, Atul, additional

Published
2018
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38. Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization

Author

Cortese, Franco, primary, Klokov, Dmitry, additional, Osipov, Andreyan, additional, Stefaniak, Jakub, additional, Moskalev, Alexey, additional, Schastnaya, Jane, additional, Cantor, Charles, additional, Aliper, Alexander, additional, Mamoshina, Polina, additional, Ushakov, Igor, additional, Sapetsky, Alex, additional, Vanhaelen, Quentin, additional, Alchinova, Irina, additional, Karganov, Mikhail, additional, Kovalchuk, Olga, additional, Wilkins, Ruth, additional, Shtemberg, Andrey, additional, Moreels, Marjan, additional, Baatout, Sarah, additional, Izumchenko, Evgeny, additional, de Magalhães, João Pedro, additional, Artemov, Artem V., additional, Costes, Sylvain V., additional, Beheshti, Afshin, additional, Mao, Xiao Wen, additional, Pecaut, Michael J., additional, Kaminskiy, Dmitry, additional, Ozerov, Ivan V., additional, Scheibye-Knudsen, Morten, additional, and Zhavoronkov, Alex, additional

Published
2018
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39. Residual γH2AX foci induced by low dose x-ray radiation in bone marrow mesenchymal stem cells do not cause accelerated senescence in the progeny of irradiated cells

Author

Pustovalova, Margarita, primary, Astrelina, Тatiana A., additional, Grekhova, Anna, additional, Vorobyeva, Natalia, additional, Tsvetkova, Anastasia, additional, Blokhina, Taisia, additional, Nikitina, Victoria, additional, Suchkova, Yulia, additional, Usupzhanova, Daria, additional, Brunchukov, Vitalyi, additional, Kobzeva, Irina, additional, Karaseva, Тatiana, additional, Ozerov, Ivan V., additional, Samoylov, Aleksandr, additional, Bushmanov, Andrey, additional, Leonov, Sergey, additional, Izumchenko, Evgeny, additional, Zhavoronkov, Alex, additional, Klokov, Dmitry, additional, and Osipov, Andreyan N., additional

Published
2017
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40. An analysis of gene expression data involving examination of signaling pathways activation reveals new insights into the mechanism of action of minoxidil topical foam in men with androgenetic alopecia

Author

Stamatas, Georgios N., primary, Wu, Jeff, additional, Pappas, Apostolos, additional, Mirmirani, Paradi, additional, McCormick, Thomas S., additional, Cooper, Kevin D., additional, Consolo, Mary, additional, Schastnaya, Jane, additional, Ozerov, Ivan V., additional, Aliper, Alexander, additional, and Zhavoronkov, Alex, additional

Published
2017
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41. γH2AX, 53BP1 and Rad51 protein foci changes in mesenchymal stem cells during prolonged X-ray irradiation

Author

Tsvetkova, Anastasia, primary, Ozerov, Ivan V., additional, Pustovalova, Margarita, additional, Grekhova, Anna, additional, Eremin, Petr, additional, Vorobyeva, Natalia, additional, Eremin, Ilya, additional, Pulin, Andrey, additional, Zorin, Vadim, additional, Kopnin, Pavel, additional, Leonov, Sergey, additional, Zhavoronkov, Alex, additional, Klokov, Dmitry, additional, and Osipov, Andreyan N., additional

Published
2017
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42. In silico analysis of pathways activation landscape in oral squamous cell carcinoma and oral leukoplakia

Author

Makarev, Eugene, primary, Schubert, Adrian D, additional, Kanherkar, Riya R, additional, London, Nyall, additional, Teka, Mahder, additional, Ozerov, Ivan, additional, Lezhnina, Ksenia, additional, Bedi, Atul, additional, Ravi, Rajani, additional, Mehra, Rannee, additional, Hoque, Mohammad O, additional, Sloma, Ido, additional, Gaykalova, Daria A, additional, Csoka, Antonei B, additional, Sidransky, David, additional, Zhavoronkov, Alex, additional, and Izumchenko, Evgeny, additional

Published
2017
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44. A review of the biomedical innovations for healthy longevity

Author

Moskalev, Alexey, primary, Anisimov, Vladimir, additional, Aliper, Aleksander, additional, Artemov, Artem, additional, Asadullah, Khusru, additional, Belsky, Daniel, additional, Baranova, Ancha, additional, de Grey, Aubrey, additional, Dixit, Vishwa Deep, additional, Debonneuil, Edouard, additional, Dobrovolskaya, Eugenia, additional, Fedichev, Peter, additional, Fedintsev, Alexander, additional, Fraifeld, Vadim, additional, Franceschi, Claudio, additional, Freer, Rosie, additional, Fülöp, Tamas, additional, Feige, Jerome, additional, Gems, David, additional, Gladyshev, Vadim, additional, Gorbunova, Vera, additional, Irincheeva, Irina, additional, Jager, Sibylle, additional, Jazwinski, S. Michal, additional, Kaeberlein, Matt, additional, Kennedy, Brian, additional, Khaltourina, Daria, additional, Kovalchuk, Igor, additional, Kovalchuk, Olga, additional, Kozin, Sergey, additional, Kulminski, Alexander, additional, Lashmanova, Ekaterina, additional, Lezhnina, Ksenia, additional, Liu, Guang-Hui, additional, Longo, Valter, additional, Mamoshina, Polina, additional, Maslov, Alexander, additional, Pedro de Magalhaes, Joao, additional, Mitchell, James, additional, Mitnitski, Arnold, additional, Nikolsky, Yuri, additional, Ozerov, Ivan, additional, Pasyukova, Elena, additional, Peregudova, Darya, additional, Popov, Vasily, additional, Proshkina, Ekaterina, additional, Putin, Evgeny, additional, Rogaev, Evgeny, additional, Rogina, Blanka, additional, Schastnaya, Jane, additional, Seluanov, Andrey, additional, Shaposhnikov, Mikhail, additional, Simm, Andreas, additional, Skulachev, Vladimir, additional, Skulachev, Maxim, additional, Solovev, Ilya, additional, Spindler, Stephen, additional, Stefanova, Natalia, additional, Suh, Yousin, additional, Swick, Andrew, additional, Tower, John, additional, Gudkov, Andrei V., additional, Vijg, Jan, additional, Voronkov, Andrey, additional, West, Michael, additional, Wagner, Wolfgang, additional, Yashin, Anatoliy, additional, Zemskaya, Nadezhda, additional, Zhumadilov, Zhaxybay, additional, and Zhavoronkov, Alex, additional

Published
2017
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46. Accumulation of spontaneous γH2AX foci in long-term cultured mesenchymal stromal cells

Author

Pustovalova, Margarita, primary, Grekhova, Anna, additional, Astrelina, Тatiana, additional, Nikitina, Viktoria, additional, Dobrovolskaya, Ekaterina, additional, Suchkova, Yulia, additional, Kobzeva, Irina, additional, Usupzhanova, Darya, additional, Vorobyeva, Natalia, additional, Samoylov, Aleksandr, additional, Bushmanov, Andrey, additional, Ozerov, Ivan V., additional, Zhavoronkov, Alex, additional, Leonov, Sergey, additional, Klokov, Dmitry, additional, and Osipov, Andreyan N., additional

Published
2016
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47. In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development

Author

Ozerov, Ivan V., primary, Lezhnina, Ksenia V., additional, Izumchenko, Evgeny, additional, Artemov, Artem V., additional, Medintsev, Sergey, additional, Vanhaelen, Quentin, additional, Aliper, Alexander, additional, Vijg, Jan, additional, Osipov, Andreyan N., additional, Labat, Ivan, additional, West, Michael D., additional, Buzdin, Anton, additional, Cantor, Charles R., additional, Nikolsky, Yuri, additional, Borisov, Nikolay, additional, Irincheeva, Irina, additional, Khokhlovich, Edward, additional, Sidransky, David, additional, Camargo, Miguel Luiz, additional, and Zhavoronkov, Alex, additional

Published
2016
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48. New function of the myostatin/activin type I receptor (ALK4) as a mediator of muscle atrophy and muscle regeneration

Author

Pasteuning‐Vuhman, Svitlana, primary, Boertje‐van der Meulen, Johanna W., additional, Putten, Maaike Van, additional, Overzier, Maurice, additional, Dijke, Peter, additional, Kielbasa, Szymon M., additional, Arindrarto, Wibowo, additional, Wolterbeek, Ron, additional, Lezhnina, Ksenia V., additional, Ozerov, Ivan V., additional, Aliper, Aleksandr M., additional, Hoogaars, Willem M., additional, Aartsma‐Rus, Annemieke, additional, and Loomans, Cindy J. M., additional

Published
2016
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49. Activation of homologous recombination DNA repair in human skin fibroblasts continuously exposed to X-ray radiation

Author

Osipov, Andreyan N., primary, Grekhova, Anna, additional, Pustovalova, Margarita, additional, Ozerov, Ivan V., additional, Eremin, Petr, additional, Vorobyeva, Natalia, additional, Lazareva, Natalia, additional, Pulin, Andrey, additional, Zhavoronkov, Alex, additional, Roumiantsev, Sergey, additional, Klokov, Dmitry, additional, and Eremin, Ilya, additional

Published
2015
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