Literature DB >> 23531220

Protein-ligand docking in the new millennium--a retrospective of 10 years in the field.

S F Sousa1, A J M Ribeiro, J T S Coimbra, R P P Neves, S A Martins, N S H N Moorthy, P A Fernandes, M J Ramos.   

Abstract

Protein-ligand docking is currently an important tool in drug discovery efforts and an active area of research that has been the subject of important developments over the last decade. These are well portrayed in the rising number of available protein-ligand docking software programs, increasing level of sophistication of its most recent applications, and growing number of users. While starting by summarizing the key concepts in protein-ligand docking, this article presents an analysis of the evolution of this important field of research over the past decade. Particular attention is given to the massive range of alternatives, in terms of protein-ligand docking software programs currently available. The emerging trends in this field are the subject of special attention, while old established docking alternatives are critically revisited. Current challenges in the field of protein-ligand docking such as the treatment of protein flexibility, the presence of structural water molecules and its effect in docking, and the entropy of binding are dissected and discussed, trying to anticipate the next years in the field.

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Year:  2013        PMID: 23531220     DOI: 10.2174/0929867311320180002

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  41 in total

1.  Cardiolipin Interactions with Proteins.

Authors:  Joan Planas-Iglesias; Himal Dwarakanath; Dariush Mohammadyani; Naveena Yanamala; Valerian E Kagan; Judith Klein-Seetharaman
Journal:  Biophys J       Date:  2015-08-20       Impact factor: 4.033

2.  Systematic Testing of Belief-Propagation Estimates for Absolute Free Energies in Atomistic Peptides and Proteins.

Authors:  Rory M Donovan-Maiye; Christopher J Langmead; Daniel M Zuckerman
Journal:  J Chem Theory Comput       Date:  2017-12-22       Impact factor: 6.006

3.  AutoDock Bias: improving binding mode prediction and virtual screening using known protein-ligand interactions.

Authors:  Juan Pablo Arcon; Carlos P Modenutti; Demian Avendaño; Elias D Lopez; Lucas A Defelipe; Francesca Alessandra Ambrosio; Adrian G Turjanski; Stefano Forli; Marcelo A Marti
Journal:  Bioinformatics       Date:  2019-10-01       Impact factor: 6.937

4.  Protein-small molecule docking with receptor flexibility in iMOLSDOCK.

Authors:  D Sam Paul; N Gautham
Journal:  J Comput Aided Mol Des       Date:  2018-08-20       Impact factor: 3.686

5.  MOLS 2.0: software package for peptide modeling and protein-ligand docking.

Authors:  D Sam Paul; N Gautham
Journal:  J Mol Model       Date:  2016-09-16       Impact factor: 1.810

6.  Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015.

Authors:  Inna Slynko; Franck Da Silva; Guillaume Bret; Didier Rognan
Journal:  J Comput Aided Mol Des       Date:  2016-08-01       Impact factor: 3.686

7.  In silico study of chikungunya polymerase, a potential target for inhibitors.

Authors:  Ritu Ghildiyal; Sanjay Gupta; Reema Gabrani; Gopal Joshi; Amita Gupta; V K Chaudhary; Vandana Gupta
Journal:  Virusdisease       Date:  2019-10-26

8.  Interaction with specific HSP90 residues as a scoring function: validation in the D3R Grand Challenge 2015.

Authors:  Diogo Santos-Martins
Journal:  J Comput Aided Mol Des       Date:  2016-08-22       Impact factor: 3.686

9.  Molecular Docking: From Lock and Key to Combination Lock.

Authors:  Ashutosh Tripathi; Vytas A Bankaitis
Journal:  J Mol Med Clin Appl       Date:  2017-02-10

10.  Computational protein-ligand docking and virtual drug screening with the AutoDock suite.

Authors:  Stefano Forli; Ruth Huey; Michael E Pique; Michel F Sanner; David S Goodsell; Arthur J Olson
Journal:  Nat Protoc       Date:  2016-04-14       Impact factor: 13.491

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