Protein structure prediction

Bissan Al-Lazikani, Emma E. Hill, Veronica Morea

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Protein structure prediction has matured over the past few years to the point that even fully automated methods can provide reasonably accurate three-dimensional models of protein structures. However, until now it has not been possible to develop programs able to perform as well as human experts, who are still capable of systematically producing better models than automated servers. Although the precise details of protein structure prediction procedures are different for virtually every protein, this chapter describes a generic procedure to obtain a three-dimensional protein model starting from the amino acid sequence. This procedure takes advantage both of programs and servers that have been shown to perform best in blind tests and of the current knowledge about evolutionary relationships between proteins, gained from detailed analyses of protein sequence, structure, and functional data.

Original languageEnglish (US)
Title of host publicationBioinformatics
Subtitle of host publicationStructure, Function and Applications
PublisherHumana Press
Pages33-85
Number of pages53
ISBN (Print)9781603274289
DOIs
StatePublished - 2008
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume453
ISSN (Print)1064-3745

Keywords

  • Fold recognition
  • Fragment assembly
  • Homology modeling
  • Metaservers
  • Protein structure prediction

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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