PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.

ABSTRACT:

Background

Numerous organisms have evolved a wide range of toxic peptides for self-defense and predation. Their effective interstitial and macro-environmental use requires energetic and structural stability. One successful group of these peptides includes a tri-disulfide domain arrangement that offers toxicity and high stability. Sequential tri-disulfide connectivity variants create highly compact disulfide folds capable of withstanding a variety of environmental stresses. Their combination of toxicity and stability make these peptides remarkably valuable for their potential as bio-insecticides, antimicrobial peptides and peptide drug candidates. However, the wide sequence variation, sources and modalities of group members impose serious limitations on our ability to rapidly identi

SUBMITTER: Islam SM 

PROVIDER: S-EPMC4491269 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature