Literature DB >> 28913782

Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2.

Maria Kadukova1,2,3,4, Sergei Grudinin5,6,7.   

Abstract

The 2016 D3R Grand Challenge 2 provided an opportunity to test multiple protein-ligand docking protocols on a set of ligands bound to farnesoid X receptor that has many available experimental structures. We participated in the Stage 1 of the Challenge devoted to the docking pose predictions, with the mean RMSD value of our submission poses of 2.9 Å. Here we present a thorough analysis of our docking predictions made with AutoDock Vina and the Convex-PL rescoring potential by reproducing our submission protocol and running a series of additional molecular docking experiments. We conclude that a correct receptor structure, or more precisely, the structure of the binding pocket, plays the crucial role in the success of our docking studies. We have also noticed the important role of a local ligand geometry, which seems to be not well discussed in literature. We succeed to improve our results up to the mean RMSD value of 2.15-2.33 Å  dependent on the models of the ligands, if docking these to all available homologous receptors. Overall, for docking of ligands of diverse chemical series we suggest to perform docking of each of the ligands to a set of multiple receptors that are homologous to the target.

Keywords:  D3R; Ensemble docking; Flexible docking; Protein–ligand docking; Scoring function

Mesh:

Substances:

Year:  2017        PMID: 28913782     DOI: 10.1007/s10822-017-0062-1

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  43 in total

1.  Evaluation of GalaxyDock Based on the Community Structure-Activity Resource 2013 and 2014 Benchmark Studies.

Authors:  Woong-Hee Shin; Gyu Rie Lee; Chaok Seok
Journal:  J Chem Inf Model       Date:  2015-11-30       Impact factor: 4.956

2.  Optimization of a novel class of benzimidazole-based farnesoid X receptor (FXR) agonists to improve physicochemical and ADME properties.

Authors:  Hans G F Richter; G M Benson; K H Bleicher; D Blum; E Chaput; N Clemann; S Feng; C Gardes; U Grether; P Hartman; B Kuhn; R E Martin; J-M Plancher; M G Rudolph; F Schuler; S Taylor
Journal:  Bioorg Med Chem Lett       Date:  2010-12-31       Impact factor: 2.823

3.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

4.  Predicting binding affinity of CSAR ligands using both structure-based and ligand-based approaches.

Authors:  Denis Fourches; Eugene Muratov; Feng Ding; Nikolay V Dokholyan; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2013-07-17       Impact factor: 4.956

5.  A D3R prospective evaluation of machine learning for protein-ligand scoring.

Authors:  Jocelyn Sunseri; Matthew Ragoza; Jasmine Collins; David Ryan Koes
Journal:  J Comput Aided Mol Des       Date:  2016-09-03       Impact factor: 3.686

6.  D3R grand challenge 2015: Evaluation of protein-ligand pose and affinity predictions.

Authors:  Symon Gathiaka; Shuai Liu; Michael Chiu; Huanwang Yang; Jeanne A Stuckey; You Na Kang; Jim Delproposto; Ginger Kubish; James B Dunbar; Heather A Carlson; Stephen K Burley; W Patrick Walters; Rommie E Amaro; Victoria A Feher; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

7.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

8.  Domain enhanced lookup time accelerated BLAST.

Authors:  Grzegorz M Boratyn; Alejandro A Schäffer; Richa Agarwala; Stephen F Altschul; David J Lipman; Thomas L Madden
Journal:  Biol Direct       Date:  2012-04-17       Impact factor: 4.540

9.  CSAR benchmark exercise of 2010: combined evaluation across all submitted scoring functions.

Authors:  Richard D Smith; James B Dunbar; Peter Man-Un Ung; Emilio X Esposito; Chao-Yie Yang; Shaomeng Wang; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2011-08-29       Impact factor: 4.956

10.  Avogadro: an advanced semantic chemical editor, visualization, and analysis platform.

Authors:  Marcus D Hanwell; Donald E Curtis; David C Lonie; Tim Vandermeersch; Eva Zurek; Geoffrey R Hutchison
Journal:  J Cheminform       Date:  2012-08-13       Impact factor: 5.514

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  5 in total

1.  Isoform-Selective Enzyme Inhibitors by Exploring Pocket Size According to the Lock-and-Key Principle.

Authors:  Virginija Dudutienė; Asta Zubrienė; Visvaldas Kairys; Alexey Smirnov; Joana Smirnovienė; Janis Leitans; Andris Kazaks; Kaspars Tars; Lena Manakova; Saulius Gražulis; Daumantas Matulis
Journal:  Biophys J       Date:  2020-09-09       Impact factor: 4.033

2.  Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization.

Authors:  Maria Kadukova; Sergei Grudinin
Journal:  J Comput Aided Mol Des       Date:  2017-09-18       Impact factor: 3.686

3.  Docking rigid macrocycles using Convex-PL, AutoDock Vina, and RDKit in the D3R Grand Challenge 4.

Authors:  Maria Kadukova; Vladimir Chupin; Sergei Grudinin
Journal:  J Comput Aided Mol Des       Date:  2019-11-29       Impact factor: 3.686

Review 4.  Improving small molecule virtual screening strategies for the next generation of therapeutics.

Authors:  Bentley M Wingert; Carlos J Camacho
Journal:  Curr Opin Chem Biol       Date:  2018-06-17       Impact factor: 8.822

5.  D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Authors:  Conor D Parks; Zied Gaieb; Michael Chiu; Huanwang Yang; Chenghua Shao; W Patrick Walters; Johanna M Jansen; Georgia McGaughey; Richard A Lewis; Scott D Bembenek; Michael K Ameriks; Tara Mirzadegan; Stephen K Burley; Rommie E Amaro; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2020-01-23       Impact factor: 3.686

  5 in total

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