The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins.

ABSTRACT:

Background

The prediction of calmodulin-binding (CaM-binding) proteins plays a very important role in the fields of biology and biochemistry, because the calmodulin protein binds and regulates a multitude of protein targets affecting different cellular processes. Computational methods that can accurately identify CaM-binding proteins and CaM-binding domains would accelerate research in calcium signaling and calmodulin function. Short-linear motifs (SLiMs), on the other hand, have been effectively used as features for analyzing protein-protein interactions, though their properties have not been utilized in the prediction of CaM-binding proteins.

Results

We propose a new method for the prediction of CaM-binding proteins based on both the total and average scores of known and n

SUBMITTER: Li Y 

PROVIDER: S-EPMC6245490 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature