Sampling of conformational ensemble for virtual screening using molecular dynamics simulations and normal mode analysis

G Moroy (1, 2) , O Sperandio (1, 2) , S Rielland (1, 2) , S Khemka (3) , K Druart (1, 2) , D. Goyal (3) , D. Perahia (3) , M. A. Miteva (1, 2)

1 MTI - Molécules Thérapeutiques in silico
2 UPD7 - Université Paris Diderot - Paris 7
3 LBPA - Laboratoire de Biologie et de Pharmacologie Appliquée

Aim: Molecular dynamics simulations and normal mode analysis are well-established approaches to generate receptor conformational ensembles (RCEs) for ligand docking and virtual screening. Here, we report new fast molecular dynamics-based and normal mode analysis-based protocols combined with conformational pocket classifications to efficiently generate RCEs. Materials & methods: We assessed our protocols on two well-characterized protein targets showing local active site flexibility, dihydrofolate reductase and large collective movements, CDK2. The performance of the RCEs was validated by distinguishing known ligands of dihydrofolate reductase and CDK2 among a dataset of diverse chemical decoys. Results & discussion: Our results show that different simulation protocols can be efficient for generation of RCEs depending on different kind of protein flexibility.

Mots clés: CDK2; DHFR; molecular dynamics simulations; normal mode analysis; protein conformational ensemble; virtual screening

Domaines: Bio-Informatique, Biologie Systémique [q-bio.QM]; Chemo-informatique

G Moroy, O Sperandio, S Rielland, S Khemka, K Druart, et al.. Sampling of conformational ensemble for virtual screening using molecular dynamics simulations and normal mode analysis. Future Medicinal Chemistry, 2015, 7 (17), pp.2317-2331. ⟨10.4155/fmc.15.150⟩. ⟨hal-01274987⟩