Literature DB >> 3471114

Conformational energy calculations on polypeptides and proteins: use of a statistical mechanical procedure for evaluating structure and properties.

H A Scheraga, G H Paine.   

Abstract

We are using a variety of theoretical and computational techniques to study protein structure, protein folding, and higher-order structures. Our earlier work involved treatments of liquid water and aqueous solutions of nonpolar and polar solutes, computations of the stabilities of the fundamental structures of proteins and their packing arrangements, conformations of small cyclic and open-chain peptides, structures of fibrous proteins (collagen), structures of homologous globular proteins, introduction of special procedures as constraints during energy minimization of globular proteins, and structures of enzyme-substrate complexes. Recently, we presented a new methodology for predicting polypeptide structure (described here); the method is based on the calculation of the probable and average conformation of a polypeptide chain by the application of equilibrium statistical mechanics in conjunction with an adaptive, importance sampling Monte Carlo algorithm. As a test, it was applied to Met-enkephalin.

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Year:  1986        PMID: 3471114     DOI: 10.1111/j.1749-6632.1986.tb20937.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  5 in total

1.  A lattice model for protein structure prediction at low resolution.

Authors:  D A Hinds; M Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

2.  A strategy for finding classes of minima on a hypersurface: implications for approaches to the protein folding problem.

Authors:  T Head-Gordon; F H Stillinger; J Arrecis
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

3.  Monte Carlo simulation of equilibrium globular protein folding: alpha-helical bundles with long loops.

Authors:  A Sikorski; J Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  1989-04       Impact factor: 11.205

4.  Monte Carlo-minimization approach to the multiple-minima problem in protein folding.

Authors:  Z Li; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1987-10       Impact factor: 11.205

5.  Symposium overview. Minnesota Conference on Supercomputing in Biology: Proteins, Nucleic Acids, and Water.

Authors:  G L Wilcox; F A Quiocho; C Levinthal; S C Harvey; G M Maggiora; J A McCammon
Journal:  J Comput Aided Mol Des       Date:  1988-01       Impact factor: 3.686

  5 in total

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