Literature DB >> 17242351

Ligand configurational entropy and protein binding.

Chia-en A Chang1, Wei Chen, Michael K Gilson.   

Abstract

The restriction of a small molecule's motion on binding to a protein causes a loss of configurational entropy, and thus a penalty in binding affinity. Some energy models used in computer-aided ligand design neglect this entropic penalty, whereas others account for it based on an expected drop in the number of accessible rotamers upon binding. However, the validity of the physical assumptions underlying the various approaches is largely unexamined. The present study addresses this issue by using Mining Minima calculations to analyze the association of amprenavir with HIV protease. The computed loss in ligand configurational entropy is large, contributing approximately 25 kcal/mol (4.184 kJ/kcal) to DeltaG degrees. Most of this loss results from narrower energy wells in the bound state, rather than a drop in the number of accessible rotamers. Coupling among rotation/translation and internal degrees of freedom complicates the decomposition of the entropy change into additive terms. The results highlight the potential to gain affinity by designing conformationally restricted ligands and have implications for the formulation of energy models for ligand scoring.

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Year:  2007        PMID: 17242351      PMCID: PMC1780070          DOI: 10.1073/pnas.0610494104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

1.  Revisiting free energy calculations: a theoretical connection to MM/PBSA and direct calculation of the association free energy.

Authors:  Jessica M J Swanson; Richard H Henchman; J Andrew McCammon
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

Review 2.  Binding affinities of host-guest, protein-ligand, and protein-transition-state complexes.

Authors:  K N Houk; Andrew G Leach; Susanna P Kim; Xiyun Zhang
Journal:  Angew Chem Int Ed Engl       Date:  2003-10-20       Impact factor: 15.336

3.  Enhanced docking with the mining minima optimizer: acceleration and side-chain flexibility.

Authors:  Visvaldas Kairys; Michael K Gilson
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

4.  Novel scoring functions comprising QXP, SASA, and protein side-chain entropy terms.

Authors:  Fabrizio Giordanetto; Simona Cotesta; Cornel Catana; Jean-Yves Trosset; Anna Vulpetti; Pieter F W Stouten; Romano T Kroemer
Journal:  J Chem Inf Comput Sci       Date:  2004 May-Jun

5.  Identification of symmetries in molecules and complexes.

Authors:  Wei Chen; Jing Huang; Michael K Gilson
Journal:  J Chem Inf Comput Sci       Date:  2004 Jul-Aug

6.  Ligand efficiency: a useful metric for lead selection.

Authors:  Andrew L Hopkins; Colin R Groom; Alexander Alex
Journal:  Drug Discov Today       Date:  2004-05-15       Impact factor: 7.851

7.  Concepts in receptor optimization: targeting the RGD peptide.

Authors:  Wei Chen; Chia-en Chang; Michael K Gilson
Journal:  J Am Chem Soc       Date:  2006-04-12       Impact factor: 15.419

8.  A fast flexible docking method using an incremental construction algorithm.

Authors:  M Rarey; B Kramer; T Lengauer; G Klebe
Journal:  J Mol Biol       Date:  1996-08-23       Impact factor: 5.469

9.  Decomposition of interaction free energies in proteins and other complex systems.

Authors:  G P Brady; K A Sharp
Journal:  J Mol Biol       Date:  1995-11-17       Impact factor: 5.469

Review 10.  Side-chain conformational entropy in protein folding.

Authors:  A J Doig; M J Sternberg
Journal:  Protein Sci       Date:  1995-11       Impact factor: 6.725

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  119 in total

Review 1.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

2.  Prediction of zanamivir efficiency over the possible 2009 influenza A (H1N1) mutants by multiple molecular dynamics simulations and free energy calculations.

Authors:  Dabo Pan; Huijun Sun; Chongliang Bai; Yulin Shen; Nengzhi Jin; Huanxiang Liu; Xiaojun Yao
Journal:  J Mol Model       Date:  2010-12-31       Impact factor: 1.810

3.  Extraction of configurational entropy from molecular simulations via an expansion approximation.

Authors:  Benjamin J Killian; Joslyn Yundenfreund Kravitz; Michael K Gilson
Journal:  J Chem Phys       Date:  2007-07-14       Impact factor: 3.488

4.  Molecular evolution of affinity and flexibility in the immune system.

Authors:  Ian F Thorpe; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-08       Impact factor: 11.205

5.  Treating entropy and conformational changes in implicit solvent simulations of small molecules.

Authors:  David L Mobley; Ken A Dill; John D Chodera
Journal:  J Phys Chem B       Date:  2008-01-03       Impact factor: 2.991

6.  AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Authors:  Oleg Trott; Arthur J Olson
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

7.  Enzymology: Modular biosynthesis branches out.

Authors:  Craig A Townsend
Journal:  Nature       Date:  2013-09-18       Impact factor: 49.962

Review 8.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

9.  Inclusion of solvation and entropy in the knowledge-based scoring function for protein-ligand interactions.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2010-02-22       Impact factor: 4.956

10.  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

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