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PMID: 8029205 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Protein structure comparisons using a combination of a genetic algorithm, dynamic programming and least-squares minimization.

Protein engineering ·Vol. 7 ·No. 4 ·1994-04-00 ·Pages 475-85

May AC, Johnson MS

Abstract

We introduce a completely automatic and objective procedure for the comparison of protein structures. A genetic algorithm is used to search for a near optimal solution of the rigid-body superposition of two whole protein structures. The specification of an initial set of equivalences is not required. Topological equivalences in the final structural alignment are defined by a conventional dynamic programming routine, which is commonly used to compare protein sequences. A least-squares fitting algorithm is then used to optimize the fit between the final set of equivalences. We have applied our method to the comparison of ribonucleic acid structures, as well as protein structures. The structural alignments are generally consistent with those previously published. In fact, on most occasions our method defines at least the same number of topological equivalences as other procedures, but always with a lower r.m.s. distance between them.

MeSH Terms
Algorithms Amino Acid Sequence Databases, Factual Least-Squares Analysis Mathematical Computing Models, Molecular Molecular Sequence Data Nucleic Acid Conformation Protein Structure, Tertiary RNA, Transfer, Phe/chemistry Sequence Alignment/methods Sequence Homology, Amino Acid Serine Endopeptidases/chemistry Software
Chemicals
RNA, Transfer, Phe Serine Endopeptidases
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
May A C
Department of Crystallography, Birkbeck College, University of London, UK.
Johnson M S
Article Info
Journal
Protein engineering
Abbr.
Protein Eng
ISSN
0269-2139
Published
1994-04-00
Pages
475-85
Language
English
Region
England
NLM ID
8801484
Subset
IM
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