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393 results on '"Beniddir, Mehdi A."'

1. Artificial intelligence for natural product drug discovery

Author

Mullowney, Michael W., Duncan, Katherine R., Elsayed, Somayah S., Garg, Neha, van der Hooft, Justin J. J., Martin, Nathaniel I., Meijer, David, Terlouw, Barbara R., Biermann, Friederike, Blin, Kai, Durairaj, Janani, Gorostiola González, Marina, Helfrich, Eric J. N., Huber, Florian, Leopold-Messer, Stefan, Rajan, Kohulan, de Rond, Tristan, van Santen, Jeffrey A., Sorokina, Maria, Balunas, Marcy J., Beniddir, Mehdi A., van Bergeijk, Doris A., Carroll, Laura M., Clark, Chase M., Clevert, Djork-Arné, Dejong, Chris A., Du, Chao, Ferrinho, Scarlet, Grisoni, Francesca, Hofstetter, Albert, Jespers, Willem, Kalinina, Olga V., Kautsar, Satria A., Kim, Hyunwoo, Leao, Tiago F., Masschelein, Joleen, Rees, Evan R., Reher, Raphael, Reker, Daniel, Schwaller, Philippe, Segler, Marwin, Skinnider, Michael A., Walker, Allison S., Willighagen, Egon L., Zdrazil, Barbara, Ziemert, Nadine, Goss, Rebecca J. M., Guyomard, Pierre, Volkamer, Andrea, Gerwick, William H., Kim, Hyun Uk, Müller, Rolf, van Wezel, Gilles P., van Westen, Gerard J. P., Hirsch, Anna K. H., Linington, Roger G., Robinson, Serina L., and Medema, Marnix H.

Published
2023
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2. Antileishmanial, antitrypanosomal and anti-coronavirus activities of benzophenanthridine alkaloids and other specialized metabolites isolated from the root bark of Zanthoxylum zanthoxyloides (Lam.) B.Zepernick & Timler

Author

Ba, Abda, Roumy, Vincent, Al Ibrahim, Malak, Hughes, Kristelle, Hennebelle, Thierry, Samaillie, Jennifer, Sahpaz, Sevser, Beniddir, Mehdi A., Hérent, Marie-France, Séron, Karin, Leclercq, Joëlle Quetin, Seck, Matar, and Rivière, Céline

Published
2024
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10. The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research.

Author

McAlpine, James B, Chen, Shao-Nong, Kutateladze, Andrei, MacMillan, John B, Appendino, Giovanni, Barison, Andersson, Beniddir, Mehdi A, Biavatti, Maique W, Bluml, Stefan, Boufridi, Asmaa, Butler, Mark S, Capon, Robert J, Choi, Young H, Coppage, David, Crews, Phillip, Crimmins, Michael T, Csete, Marie, Dewapriya, Pradeep, Egan, Joseph M, Garson, Mary J, Genta-Jouve, Grégory, Gerwick, William H, Gross, Harald, Harper, Mary Kay, Hermanto, Precilia, Hook, James M, Hunter, Luke, Jeannerat, Damien, Ji, Nai-Yun, Johnson, Tyler A, Kingston, David GI, Koshino, Hiroyuki, Lee, Hsiau-Wei, Lewin, Guy, Li, Jie, Linington, Roger G, Liu, Miaomiao, McPhail, Kerry L, Molinski, Tadeusz F, Moore, Bradley S, Nam, Joo-Won, Neupane, Ram P, Niemitz, Matthias, Nuzillard, Jean-Marc, Oberlies, Nicholas H, Ocampos, Fernanda MM, Pan, Guohui, Quinn, Ronald J, Reddy, D Sai, Renault, Jean-Hugues, Rivera-Chávez, José, Robien, Wolfgang, Saunders, Carla M, Schmidt, Thomas J, Seger, Christoph, Shen, Ben, Steinbeck, Christoph, Stuppner, Hermann, Sturm, Sonja, Taglialatela-Scafati, Orazio, Tantillo, Dean J, Verpoorte, Robert, Wang, Bin-Gui, Williams, Craig M, Williams, Philip G, Wist, Julien, Yue, Jian-Min, Zhang, Chen, Xu, Zhengren, Simmler, Charlotte, Lankin, David C, Bisson, Jonathan, and Pauli, Guido F

Subjects
Biological Products, Magnetic Resonance Spectroscopy, Reproducibility of Results, Molecular Conformation, Generic health relevance, Organic Chemistry, Chemical Sciences, Biological Sciences, Medical and Health Sciences
Abstract

Covering: up to 2018With contributions from the global natural product (NP) research community, and continuing the Raw Data Initiative, this review collects a comprehensive demonstration of the immense scientific value of disseminating raw nuclear magnetic resonance (NMR) data, independently of, and in parallel with, classical publishing outlets. A comprehensive compilation of historic to present-day cases as well as contemporary and future applications show that addressing the urgent need for a repository of publicly accessible raw NMR data has the potential to transform natural products (NPs) and associated fields of chemical and biomedical research. The call for advancing open sharing mechanisms for raw data is intended to enhance the transparency of experimental protocols, augment the reproducibility of reported outcomes, including biological studies, become a regular component of responsible research, and thereby enrich the integrity of NP research and related fields.

Published
2019

11. Correction: The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research

Author

McAlpine, James B, Chen, Shao-Nong, Kutateladze, Andrei, MacMillan, John B, Appendino, Giovanni, Barison, Andersson, Beniddir, Mehdi A, Biavatti, Maique W, Bluml, Stefan, Boufridi, Asmaa, Butler, Mark S, Capon, Robert J, Choi, Young H, Coppage, David, Crews, Phillip, Crimmins, Michael T, Csete, Marie, Dewapriya, Pradeep, Egan, Joseph M, Garson, Mary J, Genta-Jouve, Grégory, Gerwick, William H, Gross, Harald, Harper, Mary Kay, Hermanto, Precilia, Hook, James M, Hunter, Luke, Jeannerat, Damien, Ji, Nai-Yun, Johnson, Tyler A, Kingston, David GI, Koshino, Hiroyuki, Lee, Hsiau-Wei, Lewin, Guy, Li, Jie, Linington, Roger G, Liu, Miaomiao, McPhail, Kerry L, Molinski, Tadeusz F, Moore, Bradley S, Nam, Joo-Won, Neupane, Ram P, Niemitz, Matthias, Nuzillard, Jean-Marc, Oberlies, Nicholas H, Ocampos, Fernanda MM, Pan, Guohui, Quinn, Ronald J, Reddy, D Sai, Renault, Jean-Hugues, Rivera-Chávez, José, Robien, Wolfgang, Saunders, Carla M, Schmidt, Thomas J, Seger, Christoph, Shen, Ben, Steinbeck, Christoph, Stuppner, Hermann, Sturm, Sonja, Taglialatela-Scafati, Orazio, Tantillo, Dean J, Verpoorte, Robert, Wang, Bin-Gui, Williams, Craig M, Williams, Philip G, Wist, Julien, Yue, Jian-Min, Zhang, Chen, Xu, Zhengren, Simmler, Charlotte, Lankin, David C, Bisson, Jonathan, and Pauli, Guido F

Subjects
Organic Chemistry, Chemical Sciences, Clinical Research, Biological Sciences, Medical and Health Sciences, Medicinal and biomolecular chemistry, Traditional, complementary and integrative medicine
Abstract

Correction for 'The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research' by James B. McAlpine et al., Nat. Prod. Rep., 2018, DOI: .

Published
2019

16. Study on the connection between mycotoxins and Kashin-Beck Disease in China

Author

Fontaine, Véronique, Delporte, Cédric, Stévigny, Caroline, Souard, Florence, Wintjens, René, Chasseur, Camille, Beniddir, Mehdi, Verbeken, Annemieke, Sun, Danlei, Fontaine, Véronique, Delporte, Cédric, Stévigny, Caroline, Souard, Florence, Wintjens, René, Chasseur, Camille, Beniddir, Mehdi, Verbeken, Annemieke, and Sun, Danlei

Abstract

Kashin-Beck disease (KBD) is an endemic disease in Asia, from the southeast of Siberia in Russia to Tibet, affecting the northern and central provinces of China. It is a chronic, disabling disease characterized by multiple deformed bones and joints. However, the etiology of this disease remains unknown. Mycotoxin contamination, especially from the Fusarium spp. in the north of China, has been considered, during the last decades, as one of the main risk factors within a multifactorial KBD context. However, Fusarium were seldom detected in Tibet in previous studies. The objective of my doctoral research was therefore to investigate whether other mycotoxins could be specifically detected or more abundantly detected in KBD Tibetan-related areas. We searched for mycotoxins in two distinct types of samples. Initially, our focus was on the mycotoxins identified in cereal samples collected from regions associated with KBD. Subsequently, we analyzed fungi isolated from cereals in KBD-related areas and cultivated them under various conditions to assess mycotoxin production.For the cereal samples, thanks to the previous fungal analysis in Tibet from both endemic areas (EA) and non-endemic areas (NEA), 292 barley samples were previously collected from Tibet KBD EA and NEA during 2009-2016. Meanwhile, 19 wheat samples collected from Inner Mongolia, the northern part of China, in 2006, were also analyzed as control. We took advantage of recent analytical and data treatment tools to identify mycotoxins present in the samples. Metabolomics analysis of the data obtained by liquid chromatography coupled to a high-resolution tandem mass spectrometer (LC-HRMS(/MS)) was performed to analyze and compare the compound profiles in endemic versus non-endemic KBD areas. Enniatin B (ENN B) was observed specifically or more abundantly in the KBD-related regions. ENN B is a mycotoxin produced by some Fusarium spp. It was reported to exhibit cytotoxic effects within a limited range in both human, Doctorat en Sciences biomédicales et pharmaceutiques (Pharmacie), info:eu-repo/semantics/nonPublished

Published
2024

17. Artificial intelligence for natural product drug discovery

Author

Mullowney, Michael W., Duncan, Katherine R., Elsayed, Somayah S., Garg, Neha, van der Hooft, Justin J. J., Martin, Nathaniel I., Meijer, David, Terlouw, Barbara R., Biermann, Friederike, Blin, Kai, Durairaj, Janani, Gonzalez, Marina Gorostiola, Helfrich, Eric J. N., Huber, Florian, Leopold-Messer, Stefan, Rajan, Kohulan, de Rond, Tristan, van Santen, Jeffrey A., Sorokina, Maria, Balunas, Marcy J., Beniddir, Mehdi A., van Bergeijk, Doris A., Carroll, Laura M., Clark, Chase M., Clevert, Djork-Arne, Dejong, Chris A., Du, Chao, Ferrinho, Scarlet, Grisoni, Francesca, Hofstetter, Albert, Jespers, Willem, Kalinina, Olga V., Kautsar, Satria A., Kim, Hyunwoo, Leao, Tiago F., Masschelein, Joleen, Rees, Evan R., Reher, Raphael, Reker, Daniel, Schwaller, Philippe, Segler, Marwin, Skinnider, Michael A., Walker, Allison S., Willighagen, Egon L., Zdrazil, Barbara, Ziemert, Nadine, Goss, Rebecca J. M., Guyomard, Pierre, Volkamer, Andrea, Gerwick, William H., Kim, Hyun Uk, Mueller, Rolf, van Wezel, Gilles P., van Westen, Gerard J. P., Hirsch, Anna K. H., Linington, Roger G., Robinson, Serina L., Medema, Marnix H., Mullowney, Michael W., Duncan, Katherine R., Elsayed, Somayah S., Garg, Neha, van der Hooft, Justin J. J., Martin, Nathaniel I., Meijer, David, Terlouw, Barbara R., Biermann, Friederike, Blin, Kai, Durairaj, Janani, Gonzalez, Marina Gorostiola, Helfrich, Eric J. N., Huber, Florian, Leopold-Messer, Stefan, Rajan, Kohulan, de Rond, Tristan, van Santen, Jeffrey A., Sorokina, Maria, Balunas, Marcy J., Beniddir, Mehdi A., van Bergeijk, Doris A., Carroll, Laura M., Clark, Chase M., Clevert, Djork-Arne, Dejong, Chris A., Du, Chao, Ferrinho, Scarlet, Grisoni, Francesca, Hofstetter, Albert, Jespers, Willem, Kalinina, Olga V., Kautsar, Satria A., Kim, Hyunwoo, Leao, Tiago F., Masschelein, Joleen, Rees, Evan R., Reher, Raphael, Reker, Daniel, Schwaller, Philippe, Segler, Marwin, Skinnider, Michael A., Walker, Allison S., Willighagen, Egon L., Zdrazil, Barbara, Ziemert, Nadine, Goss, Rebecca J. M., Guyomard, Pierre, Volkamer, Andrea, Gerwick, William H., Kim, Hyun Uk, Mueller, Rolf, van Wezel, Gilles P., van Westen, Gerard J. P., Hirsch, Anna K. H., Linington, Roger G., Robinson, Serina L., and Medema, Marnix H.

Abstract

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to exciting developments in the computational drug design field, facilitating biological activity prediction and de novo drug design for molecular targets of interest. Here, we describe current and future synergies between these developments to effectively identify drug candidates from the plethora of molecules produced by nature. We also discuss how to address key challenges in realizing the potential of these synergies, such as the need for high-quality datasets to train deep learning algorithms and appropriate strategies for algorithm validation.|Advances in computational omics technologies are enabling access to the hidden diversity of natural products, and artificial intelligence approaches are facilitating key steps in harnessing the therapeutic potential of such compounds, including biological activity prediction. This article discusses synergies between these fields to effectively identify drug candidates from the plethora of molecules produced by nature, and how to address the challenges in realizing the potential of these synergies.

Published
2024
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18. Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Author

N'Tamon, Amon Diane, Okpekon, Aboua Timothée, Bony, Nicaise F., Bernadat, Guillaume, Gallard, Jean-François, Kouamé, Tapé, Séon-Méniel, Blandine, Leblanc, Karine, Rharrabti, Somia, Mouray, Elisabeth, Grellier, Philippe, Ake, Michèle, Amin, N'Cho Christophe, Champy, Pierre, Beniddir, Mehdi A., and Le Pogam, Pierre

Published
2020
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20. Combination of Machine Learning and Empirical Computation for the Structural Validation of Trirosaline, a Natural Trimeric Monoterpene Indole Alkaloid from Catharanthus roseus

Author

Szwarc, Sarah, primary, Jagora, Adrien, additional, Derbré, Séverine, additional, Leblanc, Karine, additional, Rharrabti, Somia, additional, Said-Hassane, Charifat, additional, El Kalamouni, Chaker, additional, Gallard, Jean-François, additional, Le Pogam, Pierre, additional, and Beniddir, Mehdi A., additional

Published
2023
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25. Diversity, metabolome profiling and bioactivities of benthic filamentous cyanobacteria isolated from coastal mangroves of Mayotte

Author

Wang, Huibin, primary, Halary, Sébastien, additional, Duval, Charlotte, additional, Bernard, Cécile, additional, Troussellier, Marc, additional, Beniddir, Mehdi A., additional, Brunel, Jean-Michel, additional, Castaldi, Andrea, additional, Caudal, Flore, additional, Golléty, Claire, additional, Martin, Coralie, additional, Bourguet-Kondracki, Marie-Lise, additional, and Duperron, Sébastien, additional

Published
2023
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28. From the Spectroscopic Reassessment of Authentic Alkaloid Samples to the Molecular Networking-Guided Discovery of Criophylline-Related Analogues from Callichilia inaequalis

Author

Otogo N’Nang, Elvis, primary, Cauchie, Gaëla, additional, Retailleau, Pascal, additional, Agnandji, Selidji Todagbe, additional, Gallard, Jean-François, additional, Mouray, Elisabeth, additional, Grellier, Philippe, additional, Champy, Pierre, additional, Le Pogam, Pierre, additional, and Beniddir, Mehdi A., additional

Published
2023
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29. Baldwin and Whitehead’s Manzamine Alkaloids Biosynthesis Hypothesis Involves a Finely Tuned Reactivity of Acrolein: Automated Extraction of Reactivity Patterns from LC-MS2Data

Author

Leblond, Axel, Nguyen, Alexandre, Alcover, Charlotte, Leblanc, Karine, Gallard, Jean-François, Joseph, Delphine, Poupon, Erwan, and Beniddir, Mehdi A.

Abstract

Inspired by the multicomponent reaction-type scenario involving fatty dialdehydes, a nitrogen source, and acrolein, as a key C3unit, put forward by Baldwin and Whitehead to explain the formation of manzamine-type alkaloids, 96 multicomponent reactions were designed, and their analytical readouts were deconvoluted using a herein-provided chemoinformatic workflow. This strategy pinpointed relevant conditions tuning the reactivity of acrolein to fulfill Baldwin and Whitehead’s manzamine alkaloids biosynthetic hypothesis. This strategy can become part of a general method for the high-content analysis of multicomponent reactions applied to a natural product biosynthetic scenario.

Published
2024
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30. Structure-based molecular networking, molecular docking, dynamics simulation and pharmacokinetic studies of Olax subscorpioideafor identification of potential inhibitors against selected cancer targets

Author

Oladipupo, Akolade R., Alaribe, Stephenie C. A., Ogunlaja, Adeniyi S., Beniddir, Mehdi A., Gordon, Allen T., Ogah, Celina O., Okpuzor, Joy, and Coker, Herbert A. B.

Abstract

AbstractThe rationale at the basis of targeted approach in oncology is radically shifting—from development of highly specific agents aiming at a single target towards molecules interfering with multiple targets. This study was performed to isolate and characterize bioactive molecules from Olax subscorpioideastem and investigate their potentials as multi-targeted inhibitors against selected non-small cell lung cancer, breast cancer and chronic myelogenous leukemia oncogenic targets. Three compounds: β-sitosterol (1), α-amyrin (2) and stigmasterol (3) were isolated. The structures of 1 − 3 were elucidated by analysis of their spectroscopic data (NMR, MS and IR). To the best of our knowledge, this is the first time these compounds were isolated from O. subscorpioideastems. Furthermore, integrated analysis of MS/MS data using the Global Natural Products Social Molecular Networking (GNPS) workflow enabled dereplication and identification of 26 compounds, including alkaloids (remerine, boldine), terpenoids (3-hydroxy-11-ursen-28,13-olide, oleanolic acid), flavonoids (kaempferitrin, olax chalcone A) and saponins in O. subscorpioideastem. Molecular docking studies revealed that some of the compounds, including olax chalcone A (–9.2 to −10.9 kcal/mol), 3-Hydroxy-11-ursen-28,13-olide (–6.6 to −10.2 kcal/mol), α-amyrin (–6.6 to −10.2 kcal/mol), stigmasterol (–7.7 to −10.1 kcal/mol), β-Sitosterol (–7 to −9.9 kcal/mol) and kaempferitrin (–7.7 to −9 kcal/mol) possessed good inhibitory potentials against selected cancer targets, when compared with reference inhibitors (–8.4 to −13.7 kcal/mol). A few of these compounds were shown to have considerable to favorable pharmacokinetic and drug-likeness properties. This study provides some rationale for the use of O. subscorpioideain ethnomedicinal management of cancer and identifies some potential anticancer agents.Communicated by Ramaswamy H. Sarma

Published
2024
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34. Structure-based molecular networking, molecular docking, dynamics simulation and pharmacokinetic studies ofOlax subscorpioideafor identification of potential inhibitors against selected cancer targets

Author

Oladipupo, Akolade R., primary, Alaribe, Stephenie C. A., additional, Ogunlaja, Adeniyi S., additional, Beniddir, Mehdi A., additional, Gordon, Allen T., additional, Ogah, Celina O., additional, Okpuzor, Joy, additional, and Coker, Herbert A. B., additional

Published
2023
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37. On the structures of the penduflorines from Tabernaemontana penduliflora

Author

Beniddir, Mehdi A., Göransson, Ulf, Robertson, Luke P., Beniddir, Mehdi A., Göransson, Ulf, and Robertson, Luke P.

Abstract

The structures of the recently published monoterpene indole alkaloids penduflorines A and B (1a and 1b), isolated from Tabernaemontana penduliflora (Apocynaceae), have been revised. Rather than an inseparable mixture of two compounds, they appear to be the known alkaloid vobasine (2). Although we could not comprehensively revise the structures of penduflorines C-E due to lacking spectral data, since their structural elucidations were based on that of 1a and 1b, their structures should also be treated with caution.

Published
2023
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38. Diversity, metabolome profiling and bioactivities of benthic filamentous cyanobacteria isolated from coastal mangroves of Mayotte

Author

Wang, Huibin, Halary, Sébastien, Duval, Charlotte, Bernard, Cécile, Troussellier, Marc, Beniddir, Mehdi A., Brunel, Jean-michel, Castaldi, Andrea, Caudal, Flore, Golléty, Claire, Martin, Coralie, Bourguet-kondracki, Marie-lise, Duperron, Sebastien, Wang, Huibin, Halary, Sébastien, Duval, Charlotte, Bernard, Cécile, Troussellier, Marc, Beniddir, Mehdi A., Brunel, Jean-michel, Castaldi, Andrea, Caudal, Flore, Golléty, Claire, Martin, Coralie, Bourguet-kondracki, Marie-lise, and Duperron, Sebastien

Abstract

IntroductionCyanobacteria are important members of the dense biofilms that colonize available substrates in mangrove habitats worldwide. However, their taxonomic diversity and biological activities have received little attention. MethodsThe occurrence of cyanobacteria is evaluated in 27 biofilms collected from mangroves in Mayotte. Filamentous cyanobacterial strains were isolated and characterized using 16S rRNA comparative gene sequence analysis. LC-MS/MS experiments were performed on the crude extracts of the faster-growing strains, and construction of their molecular network showed a conspectus of their chemical diversity. Biological activities of the strain extracts were then evaluated using standard assays. Results and discussionIsolation procedures yielded 43 strains representing 22 species-level taxa, of which only three could be assigned to existing species. Some of these strains were among the most abundant cyanobacteria present in biofilms. PCR assays did not support the production of the major cyanotoxins. Analysis of metabolites from 23 strains using both in silico tools ISDB- DNP (In silico Data Base–Dictionary of Natural Products) and MolDiscovery, revealed occurrence of godavarin K, a limonoid natural product previously isolated from the seeds of an Indian mangrove tree. This annotation was further confirmed by the marine database MarinLit, suggesting that cyanobacteria might be an alternative source of godavarin K and its four isomers. While no significant antimicrobial and cytotoxic activities were observed, some strains exhibited anthelmintic and antibiofilm activities that warrant further investigation and may be relevant to biofilm ecology. Mangrove biofilms thus appear to be an untapped reservoir of novel culturable cyanobacterial lineages, with bioactivities relevant to their biofilm lifestyle, which may be of interest for bioinspiration.

Published
2023
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39. Collected mass spectrometry data on monoterpene indole alkaloids from natural product chemistry research

Author

Fox Ramos, Alexander E., Le Pogam, Pierre, Fox Alcover, Charlotte, Otogo N’Nang, Elvis, Cauchie, Gaëla, Hazni, Hazrina, Awang, Khalijah, Bréard, Dimitri, Echavarren, Antonio M., Frédérich, Michel, Gaslonde, Thomas, Girardot, Marion, Grougnet, Raphaël, Kirillova, Mariia S., Kritsanida, Marina, Lémus, Christelle, Le Ray, Anne-Marie, Lewin, Guy, Litaudon, Marc, Mambu, Lengo, Michel, Sylvie, Miloserdov, Fedor M., Muratore, Michael E., Richomme-Peniguel, Pascal, Roussi, Fanny, Evanno, Laurent, Poupon, Erwan, Champy, Pierre, and Beniddir, Mehdi A.

Published
2019
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40. Isolation and Characterization of Compounds from Ochreinauclea maingayi (Hook. f.) Ridsd. (Rubiaceae) with the Aid of LCMS/MS Molecular Networking

Author

Osman, Norfaizah, primary, Zahari, Azeana, additional, Hazni, Hazrina, additional, Wan Othman, Wan Nurul Nazneem, additional, Rasol, Nurulfazlina Edayah, additional, Ismail, Nor Hadiani, additional, Champy, Pierre, additional, Beniddir, Mehdi A., additional, Litaudon, Marc, additional, and Awang, Khalijah, additional

Published
2023
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42. Biodereplication of Antiplasmodial Extracts: Application of the Amazonian Medicinal Plant Piper coruscans Kunth

Author

Vásquez-Ocmín, Pedro G., primary, Gallard, Jean-François, additional, Van Baelen, Anne-Cécile, additional, Leblanc, Karine, additional, Cojean, Sandrine, additional, Mouray, Elisabeth, additional, Grellier, Philippe, additional, Guerra, Carlos A. Amasifuén, additional, Beniddir, Mehdi A., additional, Evanno, Laurent, additional, Figadère, Bruno, additional, and Maciuk, Alexandre, additional

Published
2022
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43. Poster

Author

Allard, Pierre-Marie, Da Silva, Alexandre, Bisson, Jonathan, Beniddir, Mehdi, and Genta-Jouve, Gregory

Subjects
poster
Published
2022
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49. Combined LC-MS/MS and Molecular Networking Approach Reveals Antioxidant and Antimicrobial Compounds from Erismadelphus exsul Bark

Author

Essono Mintsa, Morel, primary, N’nang, Elvis Otogo, additional, Choque, Élodie, additional, Siah, Ali, additional, Jacquin, Justine, additional, Muchembled, Jerome, additional, Molinié, Roland, additional, Roulard, Romain, additional, Cailleu, Dominique, additional, Beniddir, Mehdi A., additional, Obiang, Cédric Sima, additional, Ondo, Joseph-Privat, additional, Kumulungui, Brice, additional, and Mesnard, François, additional

Published
2022
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