An expanded evaluation of protein function prediction methods shows an improvement in accuracy.

ABSTRACT:

Background

A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging.

Results

We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using H

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC5015320 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature