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pspp [2009/11/30 16:38]
172.26.0.166
pspp [2010/05/22 17:19] (current)
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 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. 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.
  
-[[http://www.plosone.org/article/​info%3Adoi%2F10.1371%2Fjournal.pone.0006254;​jsessionid=FAFDBB60D6EF54E714F6B66FFF8B0FF7]]+[[http://ukpmc.ac.uk/articlerender.cgi?​tool=pubmed&​pubmedid=19606223]]
  
 DISPRO/​SSPRO DISPRO/​SSPRO
pspp.txt · Last modified: 2010/05/22 17:19 (external edit)