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The quasi-independent curvilinear coordinate approximation for geometry optimization.
MedLine Citation:
PMID:  15291597     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
This paper presents an efficient alternative to well established algorithms for molecular geometry optimization. This approach exploits the approximate decoupling of molecular energetics in a curvilinear internal coordinate system, allowing separation of the 3N-dimensional optimization problem into an O(N) set of quasi-independent one-dimensional problems. Each uncoupled optimization is developed by a weighted least squares fit of energy gradients in the internal coordinate system followed by extrapolation. In construction of the weights, only an implicit dependence on topologically connected internal coordinates is present. This new approach is competitive with the best internal coordinate geometry optimization algorithms in the literature and works well for large biological problems with complicated hydrogen bond networks and ligand binding motifs.
Authors:
Károly Németh; Matt Challacombe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Journal of chemical physics     Volume:  121     ISSN:  0021-9606     ISO Abbreviation:  J Chem Phys     Publication Date:  2004 Aug 
Date Detail:
Created Date:  2004-08-04     Completed Date:  2007-04-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375360     Medline TA:  J Chem Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2877-85     Citation Subset:  -    
Copyright Information:
(c) 2004 American Institute of Physics.
Affiliation:
Theoretical Division, Los Alamos National Laboratory, New Mexico 87545, USA. KNemeth@LANL.Gov
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