Exploring the "dark matter" of a mammalian proteome by protein structure and function modeling.

ABSTRACT:

Background

A growing body of evidence shows that gene products encoded by short open reading frames play key roles in numerous cellular processes. Yet, they are generally overlooked in genome assembly, escaping annotation because small protein-coding genes are difficult to predict computationally. Consequently, there are still a considerable number of small proteins whose functions are yet to be characterized.

Results

To address this issue, we apply a collection of structural bioinformatics algorithms to infer molecular function of putative small proteins from the mouse proteome. Specifically, we construct 1,743 confident structure models of small proteins, which reveal a significant structural diversity with a noticeably high helical content. A subsequent structure-based fu

SUBMITTER: Brylinski M 

PROVIDER: S-EPMC3866606 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature