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Sequence determinants of protein architecture
Author(s) -
Rackovsky S.
Publication year - 2013
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.24328
Subject(s) - sequence (biology) , sequence space , computational biology , set (abstract data type) , encoding (memory) , sequence logo , space (punctuation) , biology , computer science , sequence alignment , peptide sequence , algorithm , genetics , mathematics , artificial intelligence , discrete mathematics , gene , banach space , programming language , operating system
ABSTRACT Delineation of the relationship between sequence and structure in proteins has proven elusive. Most studies of this problem use alignment methods and other approaches based on the characteristics of individual residues. It is demonstrated herein that the sequence‐structure relationship is determined in significant part by global characteristics of sequence organization. Information encoded in complete sequences is required to distinguish proteins in different architectural groups. It is found that the statistically significant differences between sequences encoding different architectures are encoded in a surprisingly small set of low‐wave‐number sequence periodicities. It would therefore appear that unexpected simplicity in an appropriately defined Fourier space may be an inherent characteristic of the sequences of folded proteins. Proteins 2013; 81:1681–1685. © 2013 Wiley Periodicals, Inc.