GPS-SNO: computational prediction of protein S-nitrosylation sites with a modified GPS algorithm.

ABSTRACT: As one of the most important and ubiquitous post-translational modifications (PTMs) of proteins, S-nitrosylation plays important roles in a variety of biological processes, including the regulation of cellular dynamics and plasticity. Identification of S-nitrosylated substrates with their exact sites is crucial for understanding the molecular mechanisms of S-nitrosylation. In contrast with labor-intensive and time-consuming experimental approaches, prediction of S-nitrosylation sites using computational methods could provide convenience and increased speed. In this work, we developed a novel software of GPS-SNO 1.0 for the prediction of S-nitrosylation sites. We greatly improved our previously developed algorithm and released the GPS 3.0 algorithm for GPS-SNO. By comparison, the prediction

SUBMITTER: Xue Y 

PROVIDER: S-EPMC2892008 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature