Literature DB >> 7473728

Calculation of relative binding free energies and configurational entropies: a structural and thermodynamic analysis of the nature of non-polar binding of thrombin inhibitors based on hirudin55-65.

J Wang1, Z Szewczuk, S Y Yue, Y Tsuda, Y Konishi, E O Purisima.   

Abstract

Free energy calculations were carried out on a series of exosite-binding inhibitors of thrombin. These inhibitors are based on the C-terminal fragment of hirudin and have the sequence Phe-Glu-Glu-IleH59-Pro-Glu-Glu-Tyr- Leu, where the superscript over Ile indicates its relative position in the natural sequence of hirudin. In this study, the effect of replacing IleH59 with ten other non-polar amino acids was examined. Three preferred interaction sites for methyl/methylene groups for the various XaaH59 side-chains in the complex were identified from conformational search calculations. The corresponding thermodynamic changes were determined using a combination of systematic search and energy minimization in a manner that locates the local minima in the system and in the process simultaneously builds up the partition function. The free energy, internal energy and entropic contributions are readily calculated from the partition function. Very good agreement in the resulting relative binding free energies was obtained between theory and experiment. The calculations allowed us to dissect out the enthalpic, entropic and solvation contributions to delta delta G. The contribution from desolvation was found to be relatively weak. The binding of these non-polar side-chains to thrombin is found to be driven mainly by favorable protein-ligand interactions rather than by the desire for non-polar groups to be desolvated. We also find that the configurational entropy contributes about 0.48 kcal/mol (0.81 kappa T) in average for each torsional angle "frozen" in binding.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7473728     DOI: 10.1006/jmbi.1995.0567

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  11 in total

1.  Comments on the design of chemical libraries for screening.

Authors:  H O Villar; R T Koehler
Journal:  Mol Divers       Date:  2000       Impact factor: 2.943

2.  Structure-based prediction of free energy changes of binding of PTP1B inhibitors.

Authors:  Jing Wang; Shek Ling Chan; Kal Ramnarayan
Journal:  J Comput Aided Mol Des       Date:  2003-08       Impact factor: 3.686

3.  Processing multimode binding situations in simulation-based prediction of ligand-macromolecule affinities.

Authors:  Akash Khandelwal; Viera Lukacova; Daniel M Kroll; Soumyendu Raha; Dogan Comez; Stefan Balaz
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

4.  Structural determinants of binding of aromates to extracellular matrix: a multi-species multi-mode CoMFA study.

Authors:  Yufen Zhang; Viera Lukacova; Vladimir Bartus; Stefan Balaz
Journal:  Chem Res Toxicol       Date:  2007-01       Impact factor: 3.739

5.  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

6.  Salt bridges: geometrically specific, designable interactions.

Authors:  Jason E Donald; Daniel W Kulp; William F DeGrado
Journal:  Proteins       Date:  2011-01-05

7.  On the entropy of protein folding.

Authors:  G I Makhatadze; P L Privalov
Journal:  Protein Sci       Date:  1996-03       Impact factor: 6.725

8.  Rigorous treatment of multispecies multimode ligand-receptor interactions in 3D-QSAR: CoMFA analysis of thyroxine analogs binding to transthyretin.

Authors:  Senthil Natesan; Tiansheng Wang; Viera Lukacova; Vladimir Bartus; Akash Khandelwal; Stefan Balaz
Journal:  J Chem Inf Model       Date:  2011-04-08       Impact factor: 4.956

9.  Binding of matrix metalloproteinase inhibitors to extracellular matrix: 3D-QSAR analysis.

Authors:  Yufen Zhang; Viera Lukacova; Vladimir Bartus; Xiaoping Nie; Guorong Sun; Ethirajan Manivannan; Sandeep R Ghorpade; Xiaomin Jin; Shankar Manyem; Mukund P Sibi; Gregory R Cook; Stefan Balaz
Journal:  Chem Biol Drug Des       Date:  2008-10       Impact factor: 2.817

10.  Context and force field dependence of the loss of protein backbone entropy upon folding using realistic denatured and native state ensembles.

Authors:  Michael C Baxa; Esmael J Haddadian; Abhishek K Jha; Karl F Freed; Tobin R Sosnick
Journal:  J Am Chem Soc       Date:  2012-09-14       Impact factor: 15.419

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.