Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins.

ABSTRACT: The focus of the computational structural biology community has taken a dramatic shift over the past one-and-a-half decades from the classical protein structure prediction problem to the possible understanding of intrinsically disordered proteins (IDP) or proteins containing regions of disorder (IDPR). The current interest lies in the unraveling of a disorder-to-order transitioning code embedded in the amino acid sequences of IDPs/IDPRs. Disordered proteins are characterized by an enormous amount of structural plasticity which makes them promiscuous in binding to different partners, multi-functional in cellular activity and atypical in folding energy landscapes resembling partially folded molten globules. Also, their involvement in several deadly human diseases (e.g. cancer, cardiovascular

SUBMITTER: Basu S 

PROVIDER: S-EPMC5429364 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature