The estimation of the binding of a set of molecules against BRD9 protein was carried out through an in silico molecular dynamics‐driven exhaustive analysis to guide the identification of potential novel ligands. Starting from eight crystal structures of this protein co‐complexed with known binders and one apo form, we conducted an exhaustive molecular docking/molecular dynamics (MD) investigation. To balance accuracy and an affordable calculation time, the systems were simulated for 100 ns in explicit solvent. Moreover, one complex was simulated for 1 μs to assess the influence of simulation time on the results. A set of MD‐derived parameters was com-puted and compared with molecular docking‐derived and experimental data. MM‐GBSA and the per‐residue interaction energy emerged as the main indicators for the good interaction between the specific binder and the protein counterpart. To assess the performance of the proposed analysis workflow, we tested six molecules featuring different binding affinities for BRD9, obtaining prom-ising outcomes. Further insights were reported to highlight the influence of the starting structure on the molecular dynamics simulations evolution. The data confirmed that a ranking of BRD9 binders using key parameters arising from molecular dynamics is advisable to discard poor ligands be-fore moving on with the synthesis and the biological tests.
Insights into the ligand binding to bromodomain‐containing protein 9 (BRD9): A guide to the selection of potential binders by computational methods
De Vita S.;Bifulco G.;Lauro G.
2021-01-01
Abstract
The estimation of the binding of a set of molecules against BRD9 protein was carried out through an in silico molecular dynamics‐driven exhaustive analysis to guide the identification of potential novel ligands. Starting from eight crystal structures of this protein co‐complexed with known binders and one apo form, we conducted an exhaustive molecular docking/molecular dynamics (MD) investigation. To balance accuracy and an affordable calculation time, the systems were simulated for 100 ns in explicit solvent. Moreover, one complex was simulated for 1 μs to assess the influence of simulation time on the results. A set of MD‐derived parameters was com-puted and compared with molecular docking‐derived and experimental data. MM‐GBSA and the per‐residue interaction energy emerged as the main indicators for the good interaction between the specific binder and the protein counterpart. To assess the performance of the proposed analysis workflow, we tested six molecules featuring different binding affinities for BRD9, obtaining prom-ising outcomes. Further insights were reported to highlight the influence of the starting structure on the molecular dynamics simulations evolution. The data confirmed that a ranking of BRD9 binders using key parameters arising from molecular dynamics is advisable to discard poor ligands be-fore moving on with the synthesis and the biological tests.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
