Literature DB >> 15469315

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

Chia-En Chang1, Michael K Gilson.   

Abstract

This study applies a novel computational method to study molecular recognition for three sets of synthetic hosts: molecular clips, molecular tweezers, and a synthetic barbiturate receptor. The computed standard free energies of binding for the 12 binding reactions agree closely with experiment and provide insight into the roles of configurational entropy, preorganization, and induced fit in the systems studied. The computed changes in configurational entropy are comparable in magnitude to the changes in mean potential plus solvation energy, and they result primarily from changes in the average width of the energy wells upon binding. A strong correlation is observed between the changes in configurational energy and configurational entropy upon binding, resulting in near-linear compensation analogous to classical entropy-enthalpy compensation.

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Year:  2004        PMID: 15469315     DOI: 10.1021/ja047115d

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  81 in total

1.  Calculation of cyclodextrin binding affinities: energy, entropy, and implications for drug design.

Authors:  Wei Chen; Chia-En Chang; Michael K Gilson
Journal:  Biophys J       Date:  2004-08-31       Impact factor: 4.033

2.  Exhaustive search and solvated interaction energy (SIE) for virtual screening and affinity prediction.

Authors:  Traian Sulea; Hervé Hogues; Enrico O Purisima
Journal:  J Comput Aided Mol Des       Date:  2011-12-25       Impact factor: 3.686

Review 3.  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

4.  Prediction of SAMPL3 host-guest binding affinities: evaluating the accuracy of generalized force-fields.

Authors:  Hari S Muddana; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-01-25       Impact factor: 3.686

5.  Calculation of absolute protein-ligand binding affinity using path and endpoint approaches.

Authors:  Michael S Lee; Mark A Olson
Journal:  Biophys J       Date:  2005-11-11       Impact factor: 4.033

6.  Ligand configurational entropy and protein binding.

Authors:  Chia-en A Chang; Wei Chen; Michael K Gilson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

7.  Improved estimation of ligand-macromolecule binding affinities by linear response approach using a combination of multi-mode MD simulation and QM/MM methods.

Authors:  Akash Khandelwal; Stefan Balaz
Journal:  J Comput Aided Mol Des       Date:  2007-02-28       Impact factor: 3.686

8.  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

9.  LS-VISM: A software package for analysis of biomolecular solvation.

Authors:  Shenggao Zhou; Li-Tien Cheng; Hui Sun; Jianwei Che; Joachim Dzubiella; Bo Li; J Andrew McCammon
Journal:  J Comput Chem       Date:  2015-03-12       Impact factor: 3.376

10.  Large scale free energy calculations for blind predictions of protein-ligand binding: the D3R Grand Challenge 2015.

Authors:  Nanjie Deng; William F Flynn; Junchao Xia; R S K Vijayan; Baofeng Zhang; Peng He; Ahmet Mentes; Emilio Gallicchio; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2016-08-25       Impact factor: 3.686

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