POODLE: Tools Predicting Intrinsically Disordered Regions of Amino Acid Sequence

研究成果: Article査読

3 被引用数 (Scopus)

抄録

Protein intrinsic disorder , a widespread phenomenon characterized by a lack of stable three-dimensional structure, is thought to play an important role in protein function. In the last decade, dozens of computational methods for predicting intrinsic disorder from amino acid sequences have been developed. They are widely used by structural biologists not only for analyzing the biological function of intrinsic disorder but also for finding flexible regions that possibly hinder successful crystallization of the full-length protein. In this chapter, I introduce Prediction Of Order and Disorder by machine LEarning (POODLE), which is a series of programs accurately predicting intrinsic disorder. After giving the theoretical background for predicting intrinsic disorder, I give a detailed guide to using POODLE. I then also briefly introduce a case study where using POODLE for functional analyses of protein disorder led to a novel biological findings.

本文言語English
ページ(範囲)131-145
ページ数15
ジャーナルMethods in Molecular Biology
1137
DOI
出版ステータスPublished - 2014 1 1
外部発表はい

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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