: Molecular docking is central to rational drug design. Current docking techniques suffer, however, from limitations in protein flexibility and solvation models and by the use of simplified scoring functions. All-atom molecular dynamics simulations, on the other hand, feature a realistic representation of protein flexibility and solvent, but require knowledge of the binding site. Recently we showed that coarse-grained molecular dynamics simulations, based on the most recent version of the Martini force field, can be used to predict protein/ligand binding sites and pathways, without requiring any a priori information, and offer a level of accuracy approaching all-atom simulations. Given the excellent computational efficiency of Martini, this opens the way to high-throughput drug screening based on dynamic docking pipelines. In this opinion article, we sketch the roadmap to achieve this goal.

Perspectives on High-Throughput Ligand/Protein Docking With Martini MD Simulations / Souza, Paulo C T; Limongelli, Vittorio; Wu, Sangwook; Marrink, Siewert J; Monticelli, Luca. - In: FRONTIERS IN MOLECULAR BIOSCIENCES. - ISSN 2296-889X. - 8:(2021), p. 657222. [10.3389/fmolb.2021.657222]

Perspectives on High-Throughput Ligand/Protein Docking With Martini MD Simulations

Limongelli, Vittorio
;
Monticelli, Luca
2021

Abstract

: Molecular docking is central to rational drug design. Current docking techniques suffer, however, from limitations in protein flexibility and solvation models and by the use of simplified scoring functions. All-atom molecular dynamics simulations, on the other hand, feature a realistic representation of protein flexibility and solvent, but require knowledge of the binding site. Recently we showed that coarse-grained molecular dynamics simulations, based on the most recent version of the Martini force field, can be used to predict protein/ligand binding sites and pathways, without requiring any a priori information, and offer a level of accuracy approaching all-atom simulations. Given the excellent computational efficiency of Martini, this opens the way to high-throughput drug screening based on dynamic docking pipelines. In this opinion article, we sketch the roadmap to achieve this goal.
2021
Perspectives on High-Throughput Ligand/Protein Docking With Martini MD Simulations / Souza, Paulo C T; Limongelli, Vittorio; Wu, Sangwook; Marrink, Siewert J; Monticelli, Luca. - In: FRONTIERS IN MOLECULAR BIOSCIENCES. - ISSN 2296-889X. - 8:(2021), p. 657222. [10.3389/fmolb.2021.657222]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/925746
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