PSPP: a protein structure prediction pipeline for computing clusters.

ABSTRACT:

Background

Protein structures are critical for understanding the mechanisms of biological systems and, subsequently, for drug and vaccine design. Unfortunately, protein sequence data exceed structural data by a factor of more than 200 to 1. This gap can be partially filled by using computational protein structure prediction. While structure prediction Web servers are a notable option, they often restrict the number of sequence queries and/or provide a limited set of prediction methodologies. Therefore, we present a standalone protein structure prediction software package suitable for high-throughput structural genomic applications that performs all three classes of prediction methodologies: comparative modeling, fold recognition, and ab initio. This software can be deployed on a us

SUBMITTER: Lee MS 

PROVIDER: S-EPMC2707601 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature