Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Minoux, Hervé"'
Since the approval of the first antibody drug in 1986, a total of 162 antibodies have been approved for a wide range of therapeutic areas, including cancer, autoimmune, infectious, or cardiovascular diseases. Despite advances in biotechnology that ac
Externí odkaz:
http://arxiv.org/abs/2411.13390
Autor:
Soukarieh, Inass, Hessler, Gerhard, Minoux, Hervé, Mohr, Marcel, Schmidt, Friedemann, Wenzel, Jan, Barbillon, Pierre, Gangloff, Hugo, Gloaguen, Pierre
Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these models limits their widespread application in early drug discovery. In t
Externí odkaz:
http://arxiv.org/abs/2408.14266
Autor:
Belkacemi, Zineb, Bianciotto, Marc, Minoux, Herve, Lelievre, Tony, Stoltz, Gabriel, Gkeka, Paraskevi
The heat shock protein 90 (Hsp90) is a molecular chaperone that controls the folding and activation of client proteins using the free energy of ATP hydrolysis. The Hsp90 active site is in its N-terminal domain (NTD). Our goal is to characterize the d
Externí odkaz:
http://arxiv.org/abs/2306.02935
Autor:
Debroise, Théau, Hoste, Rose, Chamayou, Quentin, Minoux, Hervé, Filoche-Rommé, Bruno, Bianciotto, Marc, Rameau, Jean-Philippe, Schio, Laurent, Levesque, Maximilien
Since the rise of the SARS-CoV-2 pandemic in the winter of 2019, the need for an affordable and efficient drug has not yet been met. Leveraging its unique, fast and precise binding free energy prediction technology, Aqemia screened and ranked FDA-app
Externí odkaz:
http://arxiv.org/abs/2109.03565
One of the major applications of generative models for drug Discovery targets the lead-optimization phase. During the optimization of a lead series, it is common to have scaffold constraints imposed on the structure of the molecules designed. Without
Externí odkaz:
http://arxiv.org/abs/2009.07778
Autor:
Gkeka, Paraskevi, Stoltz, Gabriel, Farimani, Amir Barati, Belkacemi, Zineb, Ceriotti, Michele, Chodera, John, Dinner, Aaron R., Ferguson, Andrew, Maillet, Jean-Bernard, Minoux, Hervé, Peter, Christine, Pietrucci, Fabio, Silveira, Ana, Tkatchenko, Alexandre, Trstanova, Zofia, Wiewiora, Rafal, Leliévre, Tony
Machine learning encompasses a set of tools and algorithms which are now becoming popular in almost all scientific and technological fields. This is true for molecular dynamics as well, where machine learning offers promises of extracting valuable in
Externí odkaz:
http://arxiv.org/abs/2004.06950
Autor:
Bianciotto, Marc, Colliandre, Lionel, Mi, Kun, Schreiber, Isabelle, Delorme, Cécile, Vougier, Stéphanie, Minoux, Hervé
Publikováno v:
In Artificial Intelligence in the Life Sciences December 2023 3
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Chemical Information & Modeling; 4/25/2022, Vol. 62 Issue 8, p1849-1862, 14p