In Silico Protein Motif Discovery and Structural Analysis

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

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIn Silico Tools for Gene Discovery
EditorialHumana Press Inc.
Páginas341-353
Número de páginas13
ISBN (versión impresa)9781617791758
DOI
EstadoPublicada - 2011
Publicado de forma externa

Serie de la publicación

NombreMethods in Molecular Biology
Volumen760
ISSN (versión impresa)1064-3745
ISSN (versión digital)1940-6029

Nota bibliográfica

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

Áreas temáticas de ASJC Scopus

  • Biología molecular
  • Genética

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