LEON: multiple aLignment Evaluation Of Neighbours.

ABSTRACT: Sequence alignments are fundamental to a wide range of applications, including database searching, functional residue identification and structure prediction techniques. These applications predict or propagate structural/functional/evolutionary information based on a presumed homology between the aligned sequences. If the initial hypothesis of homology is wrong, no subsequent application, however sophisticated, can be expected to yield accurate results. Here we present a novel method, LEON, to predict homology between proteins based on a multiple alignment of complete sequences (MACS). In MACS, weak signals from distantly related proteins can be considered in the overall context of the family. Intermediate sequences and the combination of individual weak matches are used to increase the si

SUBMITTER: Thompson JD 

PROVIDER: S-EPMC390283 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature