FunPred 3.0: improved protein function prediction using protein interaction network.

ABSTRACT: Proteins are the most versatile macromolecules in living systems and perform crucial biological functions. In the advent of the post-genomic era, the next generation sequencing is done routinely at the population scale for a variety of species. The challenging problem is to massively determine the functions of proteins that are yet not characterized by detailed experimental studies. Identification of protein functions experimentally is a laborious and time-consuming task involving many resources. We therefore propose the automated protein function prediction methodology using in silico algorithms trained on carefully curated experimental datasets. We present the improved protein function prediction tool FunPred 3.0, an extended version of our previous methodology FunPred 2, which exploits

SUBMITTER: Saha S 

PROVIDER: S-EPMC6535044 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature