Literature DB >> 10813832

On the design and analysis of protein folding potentials.

D Tobi1, G Shafran, N Linial, R Elber.   

Abstract

Pairwise interaction models to recognize native folds are designed and analyzed. Different sets of parameters are considered but the focus was on 20 x 20 contact matrices. Simultaneous solution of inequalities and minimization of the variance of the energy find matrices that recognize exactly the native folds of 572 sequences and structures from the protein data bank (PDB). The set includes many homologous pairs, which present a difficult recognition problem. Significant recognition ability is recovered with a small number of parameters (e.g., the H/P model). However, full recognition requires a complete set of amino acids. In addition to structures from the PDB, a folding program (MONSSTER) was used to generate decoy structures for 75 proteins. It is impossible to recognize all the native structures of the extended set by contact potentials. We therefore searched for a new functional form. An energy function U, which is based on a sum of general pairwise interactions limited to a resolution of 1 angstrom, is considered. This set was infeasible too. We therefore conjecture that it is not possible to find a folding potential, resolved to 1 angstrom, which is a sum of pair interactions. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10813832     DOI: 10.1002/(sici)1097-0134(20000701)40:1<71::aid-prot90>3.0.co;2-3

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  32 in total

1.  Protein threading by learning.

Authors:  I Chang; M Cieplak; R I Dima; A Maritan; J R Banavar
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-20       Impact factor: 11.205

2.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

3.  A structure-based method for derivation of all-atom potentials for protein folding.

Authors:  Edo Kussell; Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-09       Impact factor: 11.205

4.  Can correct protein models be identified?

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

5.  Funnel sculpting for in silico assembly of secondary structure elements of proteins.

Authors:  Boris Fain; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-18       Impact factor: 11.205

6.  Design of an optimal Chebyshev-expanded discrimination function for globular proteins.

Authors:  Boris Fain; Yu Xia; Michael Levitt
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

7.  Database-derived potentials dependent on protein size for in silico folding and design.

Authors:  Yves Dehouck; Dimitri Gilis; Marianne Rooman
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

8.  Orientational potentials extracted from protein structures improve native fold recognition.

Authors:  Nicolae-Viorel Buchete; John E Straub; Devarajan Thirumalai
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

9.  Real value prediction of protein folding rate change upon point mutation.

Authors:  Liang-Tsung Huang; M Michael Gromiha
Journal:  J Comput Aided Mol Des       Date:  2012-03-18       Impact factor: 3.686

10.  A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins.

Authors:  Peter Májek; Ron Elber
Journal:  Proteins       Date:  2009-09
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