Literature DB >> 9184138

Structure-based thermodynamic analysis of HIV-1 protease inhibitors.

J S Bardi1, I Luque, E Freire.   

Abstract

A structural parametrization of the binding and folding energetics previously developed in this laboratory accounts quantitatively for the binding of 13 HIV-1 protease inhibitors for which high-resolution structures are available (A77003, A78791, A76928, A74704, A76889, VX478, SB203386, SB203238, SB206343, U100313, U89360, A98881, CGP53820). The binding free energies for the inhibitors are predicted with a standard deviation of +/- 1.1 kcal/mol or +/- 10%. Furthermore, the formalism correctly predicts the observed change in inhibition constant for the complex of A77003 and the resistant protease mutant V82A, for which the high-resolution structure is also available. The analysis presented here provides a structural mapping of the different contributions to the binding energetics. Comparison of the binding map with the residue stability map indicates that the binding pocket in the protease molecule has a dual character: half of the binding site is defined by the most stable region of the protein, while the other half is unstructured prior to inhibitor or substrate binding. This characteristic of the binding site accentuates cooperative effects that permit mutations in distal residues to have a significant effect on binding affinity. These results permit an initial assessment of the effects of mutations on the activity of protease inhibitors.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9184138     DOI: 10.1021/bi9701742

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


  11 in total

1.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

Authors:  H M Vinkers; M R de Jonge; E D Daeyaert; J Heeres; L M H Koymans; J H van Lenthe; P J Lewi; H Timmerman; P A J Janssen
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

2.  Future directions in protein function prediction.

Authors:  Ihsan A Shehadi; Huyuan Yang; Mary Jo Ondrechen
Journal:  Mol Biol Rep       Date:  2002-12       Impact factor: 2.316

3.  Structure-based thermodynamic analysis of the dissociation of protein phosphatase-1 catalytic subunit and microcystin-LR docked complexes.

Authors:  P Lavigne; J R Bagu; R Boyko; L Willard; C F Holmes; B D Sykes
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

4.  Protein-ligand binding free energy estimation using molecular mechanics and continuum electrostatics. Application to HIV-1 protease inhibitors.

Authors:  V Zoete; O Michielin; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2003-12       Impact factor: 3.686

5.  Structural, kinetic, and thermodynamic studies of specificity designed HIV-1 protease.

Authors:  Oscar Alvizo; Seema Mittal; Stephen L Mayo; Celia A Schiffer
Journal:  Protein Sci       Date:  2012-06-05       Impact factor: 6.725

6.  Dissecting homo-heptamer thermodynamics by isothermal titration calorimetry: entropy-driven assembly of co-chaperonin protein 10.

Authors:  Kathryn Luke; David Apiyo; Pernilla Wittung-Stafshede
Journal:  Biophys J       Date:  2005-08-12       Impact factor: 4.033

7.  Modeling the catalysis of anti-cocaine catalytic antibody: competing reaction pathways and free energy barriers.

Authors:  Yongmei Pan; Daquan Gao; Chang-Guo Zhan
Journal:  J Am Chem Soc       Date:  2008-03-15       Impact factor: 15.419

8.  Computational design and experimental study of tighter binding peptides to an inactivated mutant of HIV-1 protease.

Authors:  Michael D Altman; Ellen A Nalivaika; Moses Prabu-Jeyabalan; Celia A Schiffer; Bruce Tidor
Journal:  Proteins       Date:  2008-02-15

9.  Structural bases of lectin-carbohydrate affinities: comparison with protein-folding energetics.

Authors:  E García-Hernández; A Hernández-Arana
Journal:  Protein Sci       Date:  1999-05       Impact factor: 6.725

10.  A Mixed QM/MM Scoring Function to Predict Protein-Ligand Binding Affinity.

Authors:  Seth A Hayik; Roland Dunbrack; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-09-01       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.