Literature DB >> 21678954

Efficient incorporation of protein flexibility and dynamics into molecular docking simulations.

Markus A Lill1.   

Abstract

Flexibility and dynamics are protein characteristics that are essential for the process of molecular recognition. Conformational changes in the protein that are coupled to ligand binding are described by the biophysical models of induced fit and conformational selection. Different concepts that incorporate protein flexibility into protein-ligand docking within the context of these two models are reviewed. Several computational studies that discuss the validity and possible limitations of such approaches will be presented. Finally, different approaches that incorporate protein dynamics, e.g., configurational entropy, and solvation effects into docking will be highlighted.

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Year:  2011        PMID: 21678954      PMCID: PMC3172316          DOI: 10.1021/bi2004558

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  104 in total

1.  Assessing scoring functions for protein-ligand interactions.

Authors:  Philippe Ferrara; Holger Gohlke; Daniel J Price; Gerhard Klebe; Charles L Brooks
Journal:  J Med Chem       Date:  2004-06-03       Impact factor: 7.446

2.  Soft docking and multiple receptor conformations in virtual screening.

Authors:  Anna Maria Ferrari; Binqing Q Wei; Luca Costantino; Brian K Shoichet
Journal:  J Med Chem       Date:  2004-10-07       Impact factor: 7.446

3.  Free energy, entropy, and induced fit in host-guest recognition: calculations with the second-generation mining minima algorithm.

Authors:  Chia-En Chang; Michael K Gilson
Journal:  J Am Chem Soc       Date:  2004-10-13       Impact factor: 15.419

4.  Rapid context-dependent ligand desolvation in molecular docking.

Authors:  Michael M Mysinger; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2010-09-27       Impact factor: 4.956

5.  Can conformational change be described by only a few normal modes?

Authors:  Paula Petrone; Vijay S Pande
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

6.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

7.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

8.  Studying enzyme binding specificity in acetylcholinesterase using a combined molecular dynamics and multiple docking approach.

Authors:  Jeremy Kua; Yingkai Zhang; J Andrew McCammon
Journal:  J Am Chem Soc       Date:  2002-07-17       Impact factor: 15.419

9.  Three-dimensional structure of influenza A N9 neuraminidase and its complex with the inhibitor 2-deoxy 2,3-dehydro-N-acetyl neuraminic acid.

Authors:  P Bossart-Whitaker; M Carson; Y S Babu; C D Smith; W G Laver; G M Air
Journal:  J Mol Biol       Date:  1993-08-20       Impact factor: 5.469

10.  How Can Hydrophobic Association Be Enthalpy Driven?

Authors:  Piotr Setny; Riccardo Baron; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2010-08-24       Impact factor: 6.006

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  30 in total

1.  Utilizing experimental data for reducing ensemble size in flexible-protein docking.

Authors:  Mengang Xu; Markus A Lill
Journal:  J Chem Inf Model       Date:  2011-12-19       Impact factor: 4.956

2.  Predicting flexible loop regions that interact with ligands: the challenge of accurate scoring.

Authors:  Matthew L Danielson; Markus A Lill
Journal:  Proteins       Date:  2011-11-09

Review 3.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

4.  Development of inhibitors of receptor protein tyrosine phosphatase β/ζ (PTPRZ1) as candidates for CNS disorders.

Authors:  Miryam Pastor; Rosalía Fernández-Calle; Bruno Di Geronimo; Marta Vicente-Rodríguez; José María Zapico; Esther Gramage; Claire Coderch; Carmen Pérez-García; Amy W Lasek; Leonor Puchades-Carrasco; Antonio Pineda-Lucena; Beatriz de Pascual-Teresa; Gonzalo Herradón; Ana Ramos
Journal:  Eur J Med Chem       Date:  2017-11-28       Impact factor: 6.514

5.  Ensemble Molecular Dynamics of a Protein-Ligand Complex: Residual Inhibitor Entropy Enhances Drug Potency in Butyrylcholinesterase.

Authors:  Eric J Sorin; Walter Alvarado; Samantha Cao; Amethyst Radcliffe; Phuc La; Yi An
Journal:  Bioenergetics       Date:  2017-01-08

Review 6.  Induced fit docking, and the use of QM/MM methods in docking.

Authors:  Mengang Xu; Markus A Lill
Journal:  Drug Discov Today Technol       Date:  2013-09

7.  Protein pharmacophore selection using hydration-site analysis.

Authors:  Bingjie Hu; Markus A Lill
Journal:  J Chem Inf Model       Date:  2012-03-26       Impact factor: 4.956

8.  Quasi-elastic Neutron Scattering Reveals Ligand-Induced Protein Dynamics of a G-Protein-Coupled Receptor.

Authors:  Utsab R Shrestha; Suchithranga M D C Perera; Debsindhu Bhowmik; Udeep Chawla; Eugene Mamontov; Michael F Brown; Xiang-Qiang Chu
Journal:  J Phys Chem Lett       Date:  2016-10-04       Impact factor: 6.475

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

10.  A model of peptide triazole entry inhibitor binding to HIV-1 gp120 and the mechanism of bridging sheet disruption.

Authors:  Ali Emileh; Ferit Tuzer; Herman Yeh; Muddegowda Umashankara; Diogo R M Moreira; Judith M Lalonde; Carole A Bewley; Cameron F Abrams; Irwin M Chaiken
Journal:  Biochemistry       Date:  2013-03-22       Impact factor: 3.162

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