The Art and Science of Molecular Docking

Author:

Paggi Joseph M.1234,Pandit Ayush1432,Dror Ron O.1432

Affiliation:

1. Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, California, USA

2. Department of Computer Science, Stanford University, Stanford, California, USA; email: ron.dror@stanford.edu

3. Institute for Computational and Mathematical Engineering, Stanford University, Stanford, California, USA

4. Department of Structural Biology, Stanford University School of Medicine, Stanford, California, USA

Abstract

Molecular docking has become an essential part of a structural biologist's and medicinal chemist's toolkits. Given a chemical compound and the three-dimensional structure of a molecular target—for example, a protein—docking methods fit the compound into the target, predicting the compound's bound structure and binding energy. Docking can be used to discover novel ligands for a target by screening large virtual compound libraries. Docking can also provide a useful starting point for structure-based ligand optimization or for investigating a ligand's mechanism of action. Advances in computational methods, including both physics-based and machine learning approaches, as well as in complementary experimental techniques, are making docking an even more powerful tool. We review how docking works and how it can drive drug discovery and biological research. We also describe its current limitations and ongoing efforts to overcome them.

Publisher

Annual Reviews

Reference142 articles.

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