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13. List of contributors

Author

Adhikari, Aniruddha, primary, Agarwal, Sangita, additional, Ahuja, Khushi, additional, Anne Sahithi, S.T., additional, Arumugam, Priya, additional, Arunachalam, Kannappan, additional, Banerjee, Biswarup, additional, Banerjee, Deblina, additional, Banerjee, Ritwik, additional, Basu, Adreeja, additional, Basu, Medha, additional, Basu, Souradip, additional, Bhattacharjee, Gargi, additional, Bhattacharya, Debasmita, additional, Bhattacharya, Dipabarna, additional, Bhunia, Archisman, additional, Bhunia, Sayari, additional, Chakraborty, Avijit, additional, Chakraborty, Navjyoti, additional, Chakraborty, Runu, additional, Chatterjee, Anwesha, additional, Chatterjee, Sayan, additional, Chattopadhyay, Amit, additional, Chaudhary, Shubhangi, additional, Chunlei, Shi, additional, Darbar, Soumendra, additional, Das, Nitisranjan, additional, Das, Sanchari, additional, Das Sharma, Anchita, additional, Datta, Ananya, additional, Davoodbasha, MubarakAli, additional, Dey, Subhamoy, additional, Dutta, Bandita, additional, Dutta, Chaitali, additional, Fernandes, Abigail, additional, Ganguli, Sayak, additional, Garai, Sayantani, additional, Ghosh, Chandradipa, additional, Ghosh, Dipankar, additional, Ghosh, Priyam, additional, Ghosh, Siddhartha Sankar, additional, Ghosh, Sougata, additional, Gohil, Jigresh, additional, Gohil, Nisarg, additional, Guchhait, Kartik Chandra, additional, Iyer, Parameswar Krishnan, additional, Jana, Debarati, additional, Jobby, Renitta, additional, Joshi, Aditi, additional, Joshi, Sanket, additional, Khambhati, Khushal, additional, Khan, Prattusha, additional, Kumar, Shivani, additional, Kumar, Vinod, additional, Lahiri, Dibyajit, additional, Lakshmi, Selvaraj Alagu, additional, Maitra, Medha, additional, Majumder, Suparna, additional, Mandal, Tirtha Pratim, additional, Maurya, Rupesh, additional, Misra, Sutapa Roy, additional, Mitra, Arup Kumar, additional, Mondal, Madhura, additional, Mondal, Subrata, additional, Mostafavi, Ebrahim, additional, Mukherjee, Dipro, additional, Mukhopadhyay, Sayantani, additional, Nag, Moupriya, additional, Nagarajan, Sanjay, additional, Nalawade, Omkar, additional, Panda, Amiya Kumar, additional, Patil, Nayana, additional, Patra, Anuttam, additional, Paulraj Gundupalli, Marttin, additional, Poosarla, Venkata Giridhar, additional, Purty, Ram Singh, additional, Rajagopalan, Gobinath, additional, Ramakrishna, Suresh, additional, Ray, Rina Rani, additional, Ray Chowdhury, Banani, additional, Roy, Hirakjyoti, additional, Saha, Joyjit, additional, Saha, Srimoyee, additional, Samanta, Sharmistha, additional, Saoud, Joseph, additional, Sarkar, Bishwarup, additional, Sarkar, Moitrayee, additional, Sarkar, Sampriti, additional, Sarkar, Tanmay, additional, Sen, Sarani, additional, Sett, Arghya, additional, Shanmugam, Vinodhini, additional, Shivshetty, Nagaveni, additional, Singh, Paramjeet, additional, Singh, Priyanka, additional, Singh, Vijai, additional, Sivaram, Aruna, additional, Sriariyanun, Malinee, additional, Thongmee, Sirikanjana, additional, Upadhye, Vijay, additional, Vashisht, Apoorva, additional, Verma, Sumit Kumar, additional, and Yadav, Pranay, additional

Published
2023
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17. Screening of natural product libraries in MCF7 cell line reveals the pro-apoptotic properties of β tetralone

Author

Shaikh, Nilofer, Sivaram, Aruna, and Vyas, Renu

Subjects
Structural Biology, General Medicine, Molecular Biology
Abstract

Despite the exponential increase in research toward better treatment options for breast cancer patients, developing an effective drug with fewer side effects continues to remain a challenge. Natural compounds have emerged as a viable option and several drugs have been derived or inspired from them. In this study, we screened a library of natural compounds with diverse chemical structures against selected kinase proteins using in silico methods such as molecular docking and dynamics simulation. The best results were obtained between β tetralone and MDM2 E3 ubiquitin ligase protein. In vitro experiments such as cytotoxicity, scratch assays and flow cytometry analysis using an MCF7 cell line were performed to determine the anti-cancer potential of the compound. As the treatment resulted in cell death and apoptosis, β tetralone was screened in silico against anti-apoptotic targets where the best results were obtained between Bcl-w and β tetralone. This comprehensive study suggests that the anti-cancer activity of β tetralone is probably through the dual targeting of MDM2 E3 ubiquitin kinase and Bcl-w anti-apoptotic protein. Communicated by Ramaswamy H. Sarma

Published
2023

23. Discovery and Characterization of Potent Pan-Genotypic HCV NS5A Inhibitors Containing Novel Tricyclic Central Core Leading to Clinical Candidate

Author

Ramdas, Vidya, primary, Talwar, Rashmi, additional, Banerjee, Moloy, additional, Joshi, Advait Arun, additional, Das, Amit Kumar, additional, Walke, Deepak Sahebrao, additional, Borhade, Prashant, additional, Dhayagude, Usha, additional, Loriya, Rajesh, additional, Gote, Ganesh, additional, Bommakanti, Apparao, additional, Sivaram, Aruna, additional, Agarwal, Gautam, additional, Goswami, Arnab, additional, Nigade, Prashant, additional, Mehta, Maneesh, additional, Patil, Vinod, additional, Modi, Dipak, additional, Kumar, Hemant, additional, Mallurwar, Sadanand, additional, Dash, Amruta, additional, Modi, Falguni, additional, Kuldharan, Sandip, additional, Srivastava, Pratima, additional, Singh, Minakshi, additional, Narasimham, Lakshmi, additional, Gundu, Jayasagar, additional, Sharma, Sharad, additional, Kamboj, Rajender Kumar, additional, and Palle, Venkata P., additional

Published
2019
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24. Evidence of co-infection of chikungunya and densonucleosis viruses in C6/36 cell lines and laboratory infected Aedes aegypti (L.) mosquitoes

Author

Singh Dinesh K, Gokhale Mangesh D, Barde Pradip V, Sivaram Aruna, and Mourya Devendra T

Subjects
Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Densonucleosis viruses are the etiological agents of insect's disease. We have reported the isolation of densovirus from India and its distribution among the natural populations of Aedes aegypti mosquitoes across the country. Since densonucleosis virus persistently infects mosquito populations, and is demonstrated to negatively affect multiplication of dengue virus in Aedes albopictus, it would be interesting to study if this virus has a role in determining the susceptibility of the vector mosquito Ae. aegypti to chikugunya virus. Methods Mosquito cell lines and adult Ae. aegypti mosquitoes infected with densovirus were superinfected with Chikungunya virus and both the viruses were quantitated by determining their genomic copy number by real time amplification. Comparison was made between the log of genomic copy numbers of the viruses in the presence and absence of each other. Results The log of copy number of the viruses did not vary due to co-infection. Even though the RNA copy number of chikungunya virus increased over the period of time, no change was observed in the RNA copy number between the control and the co-infected group on any given day. Similarly, DNA copy number of densovirus also remained unchanged between the control and the co-infected groups. Conclusion Chikungunya virus neither stimulates the replication of densovirus nor is its own replication suppressed due to co-infection. Ae. aegypti mosquitoes with densovirus infection were as susceptible to infection by chikungunya virus as the uninfected mosquitoes.

Published
2010
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27. Computational investigations into structure and function impact of novel mutations identified in targeted exons from ovarian cancer cell lines.

Author

Wadapurkar RM, Sivaram A, and Vyas R

Abstract

The lack of sensitive and specific biomarkers for ovarian cancer leads to late stage diagnosis of the disease in a majority of the cases. Mutation accumulation is the basis for cancer progression, thus identifying mutations is an important step in the disease diagnosis. In the present study, a comprehensive analysis of fifteen Next Generation Sequencing samples from thirteen ovarian cancer cell lines was carried out for the identification of new mutations. The study revealed eight clinically significant novel mutations in six ovarian cancer oncogenes, viz. SMARCA4, ARID1A, PPP2R1A, CTNNB1, DICER1 and PIK3CA. In-depth computational analysis revealed that the mutations affected the structure of the proteins in terms of stability, solvent accessible surface area and molecular dynamics. Moreover, the mutations were present in functionally significant domains of the proteins, thereby adversely affecting the protein functionality. PPI network for SMARCA4, CTNNB1, DICER1, PIK3CA, PPP2R1A and ARID1A showed that these genes were involved in certain significant pathways affecting various hallmarks of cancer. For further validation, in vitro studies were performed that revealed hypermutability of the CTNNB1 gene. Through this study we have identified some key mutations and have analysed their structural and functional impact. The study establishes some key mutations, which can be potentially explored as biomarker and drug target.Communicated by Ramaswamy H. Sarma.

Published
2024
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