Computational identification of MoRFs in protein sequences | Zendy

Nawar Malhis | Zendy; Jörg Gsponer | Zendy

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Computational identification of MoRFs in protein sequences

Author(s) -

Nawar Malhis,

Jörg Gsponer

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv060

Subject(s) - computer science , support vector machine , identification (biology) , sequence (biology) , artificial intelligence , computational biology , data mining , set (abstract data type) , machine learning , pattern recognition (psychology) , biology , genetics , botany , programming language

Intrinsically disordered regions of proteins play an essential role in the regulation of various biological processes. Key to their regulatory function is the binding of molecular recognition features (MoRFs) to globular protein domains in a process known as a disorder-to-order transition. Predicting the location of MoRFs in protein sequences with high accuracy remains an important computational challenge.

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