Identification of protein functions using a machine-learning approach based on sequence-derived properties.

ABSTRACT:

Background

Predicting the function of an unknown protein is an essential goal in bioinformatics. Sequence similarity-based approaches are widely used for function prediction; however, they are often inadequate in the absence of similar sequences or when the sequence similarity among known protein sequences is statistically weak. This study aimed to develop an accurate prediction method for identifying protein function, irrespective of sequence and structural similarities.

Results

A highly accurate prediction method capable of identifying protein function, based solely on protein sequence properties, is described. This method analyses and identifies specific features of the protein sequence that are highly correlated with certain protein functions and determines the combinati

SUBMITTER: Lee BJ 

PROVIDER: S-EPMC2731080 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature