An improved hybrid global optimization method for protein tertiary structure prediction

First principles approaches to the protein structure prediction problem must search through an enormous conformational space to identify low-energy, near-native structures. In this paper, we describe the formulation of the tertiary structure prediction problem as a nonlinear constrained minimization...

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Bibliographic Details
Published in:	Computational optimization and applications Vol. 45; no. 2; pp. 377 - 413
Main Authors:	McAllister, Scott R., Floudas, Christodoulos A.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.03.2010 Springer Nature B.V
Subjects:	Algorithms Convex and Discrete Geometry Energy Hypotheses Management Science Mathematics Mathematics and Statistics Methods Operations Research Operations Research/Decision Theory Optimization Optimization algorithms Optimization techniques Physics Protein folding Proteins Statistics Studies Protein tertiary structure prediction Hybrid global optimization algorithm
ISSN:	0926-6003, 1573-2894
Online Access:	Get full text
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