POODLE-S

Web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix

Kana Shimizu, Shuichi Hirose, Tamotsu Noguchi

Research output: Contribution to journalArticle

85 Citations (Scopus)

Abstract

Summary: Protein disorder is characterized by a lack of a stable 3D structure, and is considered to be involved in a number of important protein functions such as regulatory and signalling events. We developed a web application, the POODLE-S, which predicts the disordered region from amino acid sequences by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.

Original languageEnglish
Pages (from-to)2337-2338
Number of pages2
JournalBioinformatics
Volume23
Issue number17
DOIs
Publication statusPublished - 2007 Sep 1
Externally publishedYes

Fingerprint

Position-Specific Scoring Matrices
Web Application
Scoring
Amino Acids
Disorder
Amino acids
Proteins
Protein
Amino Acid Sequence
Predict

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

POODLE-S : Web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix. / Shimizu, Kana; Hirose, Shuichi; Noguchi, Tamotsu.

In: Bioinformatics, Vol. 23, No. 17, 01.09.2007, p. 2337-2338.

Research output: Contribution to journalArticle

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