Florent Chevillard

Affiliations: 
2011-2016 Pharmaceutical Chemistry Philipps University Marburg, Marburg, Hessen, Germany 
Google:
"Florent Chevillard"
Mean distance: (not calculated yet)
 
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Heyder L, Hochban PMM, Taylor C, et al. (2022) Pose, duplicate, then elaborate: Steps towards increased affinity for inhibitors targeting the specificity surface of the Pim-1 kinase. European Journal of Medicinal Chemistry. 245: 114914
Chevillard F, Kelemen Á, Baker JG, et al. (2021) Fragment evolution for GPCRs: the role of secondary binding sites in optimization. Chemical Communications (Cambridge, England). 57: 10516-10519
Chevillard F, Stotani S, Karawajczyk A, et al. (2019) Interrogating dense ligand chemical space with a forward-synthetic library. Proceedings of the National Academy of Sciences of the United States of America
van Hilten N, Chevillard F, Kolb P. (2019) Virtual Compound Libraries in Computer-Assisted Drug Discovery. Journal of Chemical Information and Modeling
Pardon E, Betti C, Laeremans T, et al. (2018) Nanobody-enabled reverse pharmacology on GPCRs. Angewandte Chemie (International Ed. in English)
Chevillard F, Rimmer H, Betti C, et al. (2018) Binding-Site Compatible Fragment Growing Applied to the Design of β2-Adrenergic Receptor Ligands. Journal of Medicinal Chemistry
Martiny VY, Carbonell P, Chevillard F, et al. (2015) Integrated structure- and ligand-based in silico approach to predict inhibition of cytochrome P450 2D6. Bioinformatics (Oxford, England). 31: 3930-7
Chevillard F, Kolb P. (2015) SCUBIDOO: A Large yet Screenable and Easily Searchable Database of Computationally Created Chemical Compounds Optimized toward High Likelihood of Synthetic Tractability. Journal of Chemical Information and Modeling. 55: 1824-35
Chevillard F, Kolb P. (2014) De novo design of selective compounds: a fragment-based pipeline applied to the β2 adrenergic receptor Journal of Cheminformatics. 6
Chevillard F, Lagorce D, Reynès C, et al. (2012) In silico prediction of aqueous solubility: a multimodel protocol based on chemical similarity. Molecular Pharmaceutics. 9: 3127-35
See more...