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

Overview

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.

Writer

Paulo C. T. Souza1,2,3*, Vittorio Limongelli4,5*, Sangwook Wu2,6*, Siewert J. Marrink1* and Luca Monticelli3*

1Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, Netherlands 2PharmCADD, Busan, South Korea 3Molecular Microbiology and Structural Biochemistry (MMSB, UMR 5086), CNRS, University of Lyon, Lyon, France

4Faculty of Biomedical Sciences, Institute of Computational Science, Università della Svizzera Italiana (USI), Lugano, Switzerland 5Department of Pharmacy, University of Naples “Federico II”, Naples, Italy 6Department of Physics, Pukyong National University, Busan, South Korea

Publications