POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix | Zendy

Kana Shimizu | Zendy; Shuichi Hirose | Zendy; Tamotsu Noguchi | Zendy

Open Access

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

Author(s) -

Kana Shimizu,

Shuichi Hirose,

Tamotsu Noguchi

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm330

Subject(s) - amino acid , position (finance) , set (abstract data type) , matrix (chemical analysis) , web browser , computational biology , computer science , biology , chemistry , world wide web , genetics , chromatography , the internet , finance , programming language , economics

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.

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