SAPA tool: finding protein regions by combination of amino acid composition, scaled profiles, patterns and rules | Zendy

Josef Maier | Zendy; Alexei A. Adzhubei | Zendy; Wolfgang EggeJacobsen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SAPA tool: finding protein regions by combination of amino acid composition, scaled profiles, patterns and rules

Author(s) -

Josef Maier,

Alexei A. Adzhubei,

Wolfgang EggeJacobsen

Publication year - 2013

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/btt411

Subject(s) - perl , javascript , computer science , source code , sequence (biology) , composition (language) , protein sequencing , sequence motif , web application , data mining , computational biology , programming language , peptide sequence , world wide web , biology , genetics , dna , linguistics , philosophy , gene

Functional modules within protein sequences are often extracted by consensus sequence patterns representing a linear motif; however, other functional regions may only be described by combined features such as amino acid composition, profiles of amino acid properties and randomly distributed short sequence motifs. If only a small number of functional examples are well characterized, the researcher needs a tool to extract similar sequences for further investigation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research