Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule.

ABSTRACT:

Motivation

Intrinsically disordered regions of proteins play an essential role in the regulation of various biological processes. Key to their regulatory function is often the binding to globular protein domains via sequence elements known as molecular recognition features (MoRFs). Development of computational tools for the identification of candidate MoRF locations in amino acid sequences is an important task and an area of growing interest. Given the relative sparseness of MoRFs in protein sequences, the accuracy of the available MoRF predictors is often inadequate for practical usage, which leaves a significant need and room for improvement. In this work, we introduce MoRFCHiBi_Web, which predicts MoRF locations in protein sequences with higher accuracy compared to current MoRF

SUBMITTER: Malhis N 

PROVIDER: S-EPMC4627796 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature