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PSPP - A Protein Structure Prediction Pipeline for Computing Clusters

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 user's own high-performance computing cluster.;jsessionid=FAFDBB60D6EF54E714F6B66FFF8B0FF7


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pspp.1258963497.txt.gz · Last modified: 2010/05/22 14:19 (external edit)