Algorithms for the optimal identification of segment neighborhoods.

Abstract:

:Two algorithms for the efficient identification of segment neighborhoods are presented. A segment neighborhood is a set of contiguous residues that share common features. Two procedures are developed to efficiently find estimates for the parameters of the model that describe these features and for the residues that define the boundaries of each segment neighborhood. The algorithms can accept nearly any model of segment neighborhood, and can be applied with a broad class of best fit functions including least squares and maximum likelihood. The algorithms successively identify the most important features of the sequence. The application of one of these methods to the haemagglutinin protein of influenza virus reveals a possible mechanism for conformational change through the finding of a break in a strong heptad repeat structure.

journal_name

Bull Math Biol

authors

Auger IE,Lawrence CE

doi

10.1007/BF02458835

subject

Has Abstract

pub_date

1989-01-01 00:00:00

pages

39-54

issue

1

eissn

0092-8240

issn

1522-9602

pii

S0092-8240(89)80047-3

journal_volume

51

pub_type

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