In Silico Protein Motif Discovery and Structural Analysis

Catherine Mooney*, Norman Davey, Alberto J.M. Martin, Ian Walsh, Denis C. Shields, Gianluca Pollastri

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

A wealth of in silico tools is available for protein motif discovery and structural analysis. The aim of this chapter is to collect some of the most common and useful tools and to guide the biologist in their use. A detailed explanation is provided for the use of Distill, a suite of web servers for the prediction of protein structural features and the prediction of full-atom 3D models from a protein sequence. Besides this, we also provide pointers to many other tools available for motif discovery and secondary and tertiary structure prediction from a primary amino acid sequence. The prediction of protein intrinsic disorder and the prediction of functional sites and SLiMs are also briefly discussed. Given that user queries vary greatly in size, scope and character, the trade-offs in speed, accuracy and scale need to be considered when choosing which methods to adopt.

Original languageEnglish
Title of host publicationIn Silico Tools for Gene Discovery
PublisherHumana Press Inc.
Pages341-353
Number of pages13
ISBN (Print)9781617791758
DOIs
StatePublished - 2011
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume760
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Publisher Copyright:
© 2011, Springer Science+Business Media, LLC.

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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