Journal Article

<i>SeSAW</i>: balancing sequence and structural information in protein functional mapping

Daron M. Standley, Reiko Yamashita, Akira R. Kinjo, Hiroyuki Toh and Haruki Nakamura

in Bioinformatics

Volume 26, issue 9, pages 1258-1259
Published in print May 2010 | ISSN: 1367-4803
Published online March 2010 | e-ISSN: 1460-2059 | DOI:

Show Summary Details


Motivation: Functional similarity between proteins is evident at both the sequence and structure levels. SeSAW is a web-based program for identifying functionally or evolutionarily conserved motifs in protein structures by locating sequence and structural similarities, and quantifying these at the level of individual residues. Results can be visualized in 2D, as annotated alignments, or in 3D, as structural superpositions. An example is given for both an experimentally determined query structure and a homology model.

Availability and Implementation: The web server is located at


Journal Article.  1327 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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