Literature DB >> 9144777

Consistency in structural energetics of protein folding and peptide recognition.

C Zhang1, J L Cornette, C Delisi.   

Abstract

We report a new free energy decomposition that includes structure-derived atomic contact energies for the desolvation component, and show that it applies equally well to the analysis of single-domain protein folding and to the binding of flexible peptides to proteins. Specifically, we selected the 17 single-domain proteins for which the three-dimensional structures and thermodynamic unfolding free energies are available. By calculating all terms except the backbone conformational entropy change and comparing the result to the experimentally measured free energy, we estimated that the mean entropy gain by the backbone chain upon unfolding (delta Sbb) is 5.3 cal/K per mole of residue, and that the average backbone entropy for glycine is 6.7 cal/K. Both numbers are in close agreement with recent estimates made by entirely different methods, suggesting a promising degree of consistency between data obtained from disparate sources. In addition, a quantitative analysis of the folding free energy indicates that the unfavorable backbone entropy for each of the proteins is balanced predominantly by favorable backbone interactions. Finally, because the binding of flexible peptides to receptors is physically similar to folding, the free energy function should, in principle, be equally applicable to flexible docking. By combining atomic contact energies, electrostatics, and sequence-dependent backbone entropy, we calculated a priori the free energy changes associated with the binding of four different peptides to HLA-A2, 1 MHC molecule and found agreement with experiment to within 10% without parameter adjustment.

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Year:  1997        PMID: 9144777      PMCID: PMC2143688          DOI: 10.1002/pro.5560060512

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


  40 in total

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Journal:  Biochemistry       Date:  1989-05-30       Impact factor: 3.162

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Journal:  Proc Natl Acad Sci U S A       Date:  1989-07       Impact factor: 11.205

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Journal:  Biopolymers       Date:  1971-11       Impact factor: 2.505

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Journal:  Nature       Date:  1986 Jan 16-22       Impact factor: 49.962

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Authors:  P L Privalov
Journal:  Adv Protein Chem       Date:  1979

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10.  Temperature dependence of the hydrophobic interaction in protein folding.

Authors:  R L Baldwin
Journal:  Proc Natl Acad Sci U S A       Date:  1986-11       Impact factor: 11.205

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  10 in total

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Authors:  C J Camacho; Z Weng; S Vajda; C DeLisi
Journal:  Biophys J       Date:  1999-03       Impact factor: 4.033

2.  Folding and unfolding of helix-turn-helix motifs in the gas phase.

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Journal:  J Am Soc Mass Spectrom       Date:  2007-04-13       Impact factor: 3.109

3.  Fully Blind Docking at the Atomic Level for Protein-Peptide Complex Structure Prediction.

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Journal:  Structure       Date:  2016-09-15       Impact factor: 5.006

4.  15N backbone dynamics of the S-peptide from ribonuclease A in its free and S-protein bound forms: toward a site-specific analysis of entropy changes upon folding.

Authors:  A T Alexandrescu; K Rathgeb-Szabo; K Rumpel; W Jahnke; T Schulthess; R A Kammerer
Journal:  Protein Sci       Date:  1998-02       Impact factor: 6.725

5.  T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Authors:  Matthew N Davies; Darren R Flower; Kanchan Phadwal; Isabel K Macdonald; Peter V Coveney; Shunzhou Wan
Journal:  Immunome Res       Date:  2010-11-03

6.  STITCHER: Dynamic assembly of likely amyloid and prion β-structures from secondary structure predictions.

Authors:  Allen W Bryan; Charles W O'Donnell; Matthew Menke; Lenore J Cowen; Susan Lindquist; Bonnie Berger
Journal:  Proteins       Date:  2011-11-17

7.  Linear epitope prediction in HPV type 16 E7 antigen and their docked interaction with human TMEM 50A structural model.

Authors:  Upasna Srivastava; Satendra Singh; Budhyash Gautam; Pramod Yadav; Madhu Yadav; George Thomas; Gurmit Singh
Journal:  Bioinformation       Date:  2017-05-31

Review 8.  T-cell epitope vaccine design by immunoinformatics.

Authors:  Atanas Patronov; Irini Doytchinova
Journal:  Open Biol       Date:  2013-01-08       Impact factor: 6.411

9.  Novel druggable hot spots in avian influenza neuraminidase H5N1 revealed by computational solvent mapping of a reduced and representative receptor ensemble.

Authors:  Melissa R Landon; Rommie E Amaro; Riccardo Baron; Chi Ho Ngan; David Ozonoff; J Andrew McCammon; Sandor Vajda
Journal:  Chem Biol Drug Des       Date:  2008-01-17       Impact factor: 2.817

10.  An information gain-based approach for evaluating protein structure models.

Authors:  Guillaume Postic; Nathalie Janel; Pierre Tufféry; Gautier Moroy
Journal:  Comput Struct Biotechnol J       Date:  2020-08-18       Impact factor: 7.271

  10 in total

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