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PMID: 10526370 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Calculation of protein conformation by global optimization of a potential energy function.

Proteins ·Vol. Suppl 3 ·1999-00-00 ·Pages 204-8

Lee J, Liwo A, Ripoll DR, Pillardy J, Scheraga HA

Abstract

A novel hierarchical approach to protein folding has been applied to compute the unknown structures of seven target proteins provided by CASP3. The approach is based exclusively on the global optimization of a potential energy function for a united-residue model by conformational space annealing, followed by energy refinement using an all-atom potential. Comparison of the submitted models for five globular proteins with the experimental structures shows that the conformations of large fragments (approximately 60 aa) were predicted with rmsds of 4.2-6.8 A for the C alpha atoms. Our lowest-energy models for targets T0056 and T0061 were particularly successful, producing the correct fold of approximately 52% and 80% of the structures, respectively. These results support the thermodynamic hypothesis that protein structure can be computed solely by global optimization of a potential energy function for a given amino acid sequence.

MeSH Terms
Algorithms Crystallography, X-Ray Models, Molecular Peptide Fragments/chemistry Protein Conformation Protein Structure, Secondary Proteins/chemistry Thermodynamics
Chemicals
Peptide Fragments Proteins
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Lee J
Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853-1301, USA.
Liwo A
Ripoll D R
Pillardy J
Scheraga H A
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
0887-3585
Published
1999-00-00
Pages
204-8
Language
English
Region
United States
NLM ID
8700181
Subset
IM
Grants
NIGMS NIH HHS · GM-14312 · United States
NCRR NIH HHS · P41RR-04293 · United States
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