Literature DB >> 19453150

Influence of protonation, tautomeric, and stereoisomeric states on protein-ligand docking results.

Tim ten Brink1, Thomas E Exner.   

Abstract

In this work, we present a systematical investigation of the influence of ligand protonation states, stereoisomers, and tautomers on results obtained with the two protein-ligand docking programs GOLD and PLANTS. These different states were generated with a fully automated tool, called SPORES (Structure PrOtonation and Recognition System). First, the most probable protonations, as defined by this rule based system, were compared to the ones stored in the well-known, manually revised CCDC/ASTEX data set. Then, to investigate the influence of the ligand protonation state on the docking results, different protonation states were created. Redocking and virtual screening experiments were conducted demonstrating that both docking programs have problems in identifying the correct protomer for each complex. Therefore, a preselection of plausible protomers or the improvement of the scoring functions concerning their ability to rank different molecules/states is needed. Additionally, ligand stereoisomers were tested for a subset of the CCDC/ASTEX set, showing similar problems regarding the ranking of these stereoisomers as the ranking of the protomers.

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Year:  2009        PMID: 19453150     DOI: 10.1021/ci800420z

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  34 in total

1.  Are predefined decoy sets of ligand poses able to quantify scoring function accuracy?

Authors:  Oliver Korb; Tim Ten Brink; Fredrick Robin Devadoss Victor Paul Raj; Matthias Keil; Thomas E Exner
Journal:  J Comput Aided Mol Des       Date:  2012-01-10       Impact factor: 3.686

2.  Overview of the perspectives devoted to tautomerism in molecular design.

Authors:  Yvonne Connolly Martin
Journal:  J Comput Aided Mol Des       Date:  2010-04-29       Impact factor: 3.686

3.  pK(a) based protonation states and microspecies for protein-ligand docking.

Authors:  Tim ten Brink; Thomas E Exner
Journal:  J Comput Aided Mol Des       Date:  2010-09-30       Impact factor: 3.686

4.  PDB ligand conformational energies calculated quantum-mechanically.

Authors:  Markus Sitzmann; Iwona E Weidlich; Igor V Filippov; Chenzhong Liao; Megan L Peach; Wolf-Dietrich Ihlenfeldt; Rajeshri G Karki; Yulia V Borodina; Raul E Cachau; Marc C Nicklaus
Journal:  J Chem Inf Model       Date:  2012-02-21       Impact factor: 4.956

5.  Molecular motions in drug design: the coming age of the metadynamics method.

Authors:  Xevi Biarnés; Salvatore Bongarzone; Attilio Vittorio Vargiu; Paolo Carloni; Paolo Ruggerone
Journal:  J Comput Aided Mol Des       Date:  2011-02-17       Impact factor: 3.686

6.  Receptor pharmacophore ensemble (REPHARMBLE): a probabilistic pharmacophore modeling approach using multiple protein-ligand complexes.

Authors:  Sivakumar Prasanth Kumar
Journal:  J Mol Model       Date:  2018-09-15       Impact factor: 1.810

7.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

8.  Assessing protein-ligand interaction scoring functions with the CASF-2013 benchmark.

Authors:  Yan Li; Minyi Su; Zhihai Liu; Jie Li; Jie Liu; Li Han; Renxiao Wang
Journal:  Nat Protoc       Date:  2018-03-08       Impact factor: 13.491

9.  The Rational Design, Synthesis, and Antimicrobial Properties of Thiophene Derivatives That Inhibit Bacterial Histidine Kinases.

Authors:  Thibaut Boibessot; Christopher P Zschiedrich; Alexandre Lebeau; David Bénimèlis; Catherine Dunyach-Rémy; Jean-Philippe Lavigne; Hendrik Szurmant; Zohra Benfodda; Patrick Meffre
Journal:  J Med Chem       Date:  2016-09-26       Impact factor: 7.446

10.  Docking challenge: protein sampling and molecular docking performance.

Authors:  Khaled M Elokely; Robert J Doerksen
Journal:  J Chem Inf Model       Date:  2013-04-15       Impact factor: 4.956

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