Literature DB >> 25808539

Improvements, trends, and new ideas in molecular docking: 2012-2013 in review.

Elizabeth Yuriev1, Jessica Holien2, Paul A Ramsland3,4,5,6.   

Abstract

Molecular docking is a computational method for predicting the placement of ligands in the binding sites of their receptor(s). In this review, we discuss the methodological developments that occurred in the docking field in 2012 and 2013, with a particular focus on the more difficult aspects of this computational discipline. The main challenges and therefore focal points for developments in docking, covered in this review, are receptor flexibility, solvation, scoring, and virtual screening. We specifically deal with such aspects of molecular docking and its applications as selection criteria for constructing receptor ensembles, target dependence of scoring functions, integration of higher-level theory into scoring, implicit and explicit handling of solvation in the binding process, and comparison and evaluation of docking and scoring methods.
Copyright © 2015 John Wiley & Sons, Ltd.

Keywords:  flexibility; fragment docking; machine learning; protein protein docking; receptor ensemble; scoring; solvation; virtual screening

Mesh:

Substances:

Year:  2015        PMID: 25808539     DOI: 10.1002/jmr.2471

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  54 in total

1.  Towards predictive docking at aminergic G-protein coupled receptors.

Authors:  Jan Jakubík; Esam E El-Fakahany; Vladimír Doležal
Journal:  J Mol Model       Date:  2015-10-09       Impact factor: 1.810

2.  Improving ligand 3D shape similarity-based pose prediction with a continuum solvent model.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2019-08-28       Impact factor: 3.686

3.  Investigation of the binding mode of 1, 3, 4-oxadiazole derivatives as amide-based inhibitors for soluble epoxide hydrolase (sEH) by molecular docking and MM-GBSA.

Authors:  Leila Karami; Ali Akbar Saboury; Elham Rezaee; Sayyed Abbas Tabatabai
Journal:  Eur Biophys J       Date:  2016-12-07       Impact factor: 1.733

4.  A pose prediction approach based on ligand 3D shape similarity.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2016-07-05       Impact factor: 3.686

5.  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

6.  A cross docking pipeline for improving pose prediction and virtual screening performance.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2017-08-23       Impact factor: 3.686

7.  CSM-lig: a web server for assessing and comparing protein-small molecule affinities.

Authors:  Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2016-05-05       Impact factor: 16.971

8.  Continuous Evaluation of Ligand Protein Predictions: A Weekly Community Challenge for Drug Docking.

Authors:  Jeffrey R Wagner; Christopher P Churas; Shuai Liu; Robert V Swift; Michael Chiu; Chenghua Shao; Victoria A Feher; Stephen K Burley; Michael K Gilson; Rommie E Amaro
Journal:  Structure       Date:  2019-06-27       Impact factor: 5.006

9.  Assessing the similarity of ligand binding conformations with the Contact Mode Score.

Authors:  Yun Ding; Ye Fang; Juana Moreno; J Ramanujam; Mark Jarrell; Michal Brylinski
Journal:  Comput Biol Chem       Date:  2016-09-06       Impact factor: 2.877

Review 10.  Computational Fragment-Based Drug Design: Current Trends, Strategies, and Applications.

Authors:  Yuemin Bian; Xiang-Qun Sean Xie
Journal:  AAPS J       Date:  2018-04-09       Impact factor: 4.009

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