Literature DB >> 10677211

Computational methodology for estimating changes in free energies of biomolecular association upon mutation. The importance of bound water in dimer-tetramer assembly for beta 37 mutant hemoglobins.

J C Burnett1, G E Kellogg, D J Abraham.   

Abstract

The computational modeling program HINT (Hydropathic INTeractions), an empirical hydropathic force field that includes hydrogen bonding, Coulombic, and hydrophobic terms, was used to model the free energy of dimer-tetramer association in a series of deoxy hemoglobin beta 37 double mutants. Five of the analyzed mutants (beta 37W --> Y, beta 37W --> A, beta 37W --> G, beta 37W --> E, and beta 37W --> R) have been solved crystallographically and characterized thermodynamically and subsequently made a good test set for the calibration of our method as a tool for free energy prediction. Initial free energy estimates for these mutants were conducted without the inclusion of crystallographically conserved water molecules and systematically underestimated the experimentally calculated loss in free energy observed for each mutant dimer-tetramer association. However, the inclusion of crystallographic waters, interacting at the dimer-dimer interface of each mutant, resulted in HINT free energy estimates that were more accurate with respect to experimental data. To evaluate the ability of our method to predict free energies for de novo protein models, the same beta 37 mutants were computationally generated from native deoxy hemoglobin and similarly analyzed. Our theoretical models were sufficiently robust to accurately predict free energy changes in a localized region around the mutated residue. However, our method did not possess the capacity to generate the long-range secondary structural effects observed in crystallographically solved mutant structures. Final method analysis involved the computational generation of structurally and/or thermodynamically uncharacterized beta 37 deoxy hemoglobin mutants. HINT analysis of these structures revealed that free energy predictions for dimer-tetramer association in these models agreed well with previously observed energy predictions for structurally and thermodynamically characterized beta 37 deoxy hemoglobin mutants.

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Year:  2000        PMID: 10677211     DOI: 10.1021/bi991724u

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


  13 in total

1.  Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

Authors:  Derek J Cashman; J Neel Scarsdale; Glen E Kellogg
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

2.  A new bisintercalating anthracycline with picomolar DNA binding affinity.

Authors:  José Portugal; Derek J Cashman; John O Trent; Neus Ferrer-Miralles; Teresa Przewloka; Izabela Fokt; Waldemar Priebe; Jonathan B Chaires
Journal:  J Med Chem       Date:  2005-12-29       Impact factor: 7.446

3.  Biomacromolecular quantitative structure-activity relationship (BioQSAR): a proof-of-concept study on the modeling, prediction and interpretation of protein-protein binding affinity.

Authors:  Peng Zhou; Congcong Wang; Feifei Tian; Yanrong Ren; Chao Yang; Jian Huang
Journal:  J Comput Aided Mol Des       Date:  2013-01-10       Impact factor: 3.686

4.  Computational analysis of structure-based interactions and ligand properties can predict efflux effects on antibiotics.

Authors:  Aurijit Sarkar; Kelcey C Anderson; Glen E Kellogg
Journal:  Eur J Med Chem       Date:  2012-03-12       Impact factor: 6.514

5.  Nitration of the tumor suppressor protein p53 at tyrosine 327 promotes p53 oligomerization and activation.

Authors:  Vasily A Yakovlev; Alexander S Bayden; Paul R Graves; Glen E Kellogg; Ross B Mikkelsen
Journal:  Biochemistry       Date:  2010-06-29       Impact factor: 3.162

6.  Very empirical treatment of solvation and entropy: a force field derived from log Po/w.

Authors:  G E Kellogg; J C Burnett; D J Abraham
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

7.  Predicting the molecular interactions of CRIP1a-cannabinoid 1 receptor with integrated molecular modeling approaches.

Authors:  Mostafa H Ahmed; Glen E Kellogg; Dana E Selley; Martin K Safo; Yan Zhang
Journal:  Bioorg Med Chem Lett       Date:  2014-01-08       Impact factor: 2.823

8.  Normal coordinate structural decomposition of the heme distortions of hemoglobin in various quaternary states and bound to allosteric effectors.

Authors:  Monique Laberge; Takashi Yonetani; Judit Fidy
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

9.  Tyrosine nitration of IkappaBalpha: a novel mechanism for NF-kappaB activation.

Authors:  Vasily A Yakovlev; Igor J Barani; Christopher S Rabender; Stephen M Black; J Kevin Leach; Paul R Graves; Glen E Kellogg; Ross B Mikkelsen
Journal:  Biochemistry       Date:  2007-10-02       Impact factor: 3.162

10.  Web application for studying the free energy of binding and protonation states of protein-ligand complexes based on HINT.

Authors:  Alexander S Bayden; Micaela Fornabaio; J Neel Scarsdale; Glen E Kellogg
Journal:  J Comput Aided Mol Des       Date:  2009-06-25       Impact factor: 3.686

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