A protein sequence meta-functional signature for calcium binding residue prediction.

ABSTRACT: The diversity of characterized protein functions found amongst experimentally interrogated proteins suggests that a vast array of unknown functions remains undiscovered. These protein functions are imparted by specific geometric distributions of amino acid residue chemical moieties, each contributing a functional interaction. We hypothesize that individual residue function contributions are predictable through sequence analytic knowledge based algorithms, and that they can be recombined to understand composite protein function by predicting spatial relation in tertiary structure. We assess the former by training a meta-functional signature algorithm to specifically predict calcium ion binding residues from protein sequence. We estimate the latter by testing for match between predictive con

SUBMITTER: Horst JA 

PROVIDER: S-EPMC2932634 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature