Literature DB >> 15987905

Protein flexibility prediction by an all-atom mean-field statistical theory.

B P Pandey1, Chi Zhang, Xianzhang Yuan, Jian Zi, Yaoqi Zhou.   

Abstract

We extended a mean-field model to proteins with all atomic detail. The all-atom mean-field model was used to calculate the dynamic and thermodynamic properties of a three-helix bundle fragment of Staphylococcal protein A (Protein Data Bank [PDB] ID 1BDD) and alpha-spectrin SH3 domain protein (PDB ID 1SHG). We show that a model with all-atomic detail provides a significantly more accurate prediction of flexibility of residues in proteins than does a coarse-grained residue-level model. The accuracy of flexibility prediction is further confirmed by application of the method to 18 additional proteins with the largest size of 224 residues.

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Year:  2005        PMID: 15987905      PMCID: PMC2253361          DOI: 10.1110/ps.041311005

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  14 in total

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5.  Studies on protein folding, unfolding and fluctuations by computer simulation. I. The effect of specific amino acid sequence represented by specific inter-unit interactions.

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7.  Discrimination of native protein structures using atom-atom contact scoring.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-11       Impact factor: 11.205

8.  Simple two-state protein folding kinetics requires near-levinthal thermodynamic cooperativity.

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9.  Crucial stages of protein folding through a solvable model: predicting target sites for enzyme-inhibiting drugs.

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10.  Accurate and efficient description of protein vibrational dynamics: comparing molecular dynamics and Gaussian models.

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Journal:  Proteins       Date:  2004-05-15
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  6 in total

1.  Rationale for more diverse inhibitors in competition with substrates in HIV-1 protease.

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2.  Optimization and evaluation of a coarse-grained model of protein motion using x-ray crystal data.

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4.  Structural features that predict real-value fluctuations of globular proteins.

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Journal:  Proteins       Date:  2012-02-13

Review 5.  Computational design of structured loops for new protein functions.

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Journal:  Biol Chem       Date:  2019-02-25       Impact factor: 4.700

6.  The scoring of poses in protein-protein docking: current capabilities and future directions.

Authors:  Iain H Moal; Mieczyslaw Torchala; Paul A Bates; Juan Fernández-Recio
Journal:  BMC Bioinformatics       Date:  2013-10-01       Impact factor: 3.169

  6 in total

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