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| dbo:abstract
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- PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure (beta sheets, alpha helixes and coils) from the primary sequence. PSIPRED is available as a web service and as software. The software is distributed as source code, licensed technically as proprietary software. It allows modifying, but enforces freeware provisions by forbidding for-profit distribution of the software and its results. (en)
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- 14000000.000000 (xsd:double)
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- 9107 (xsd:nonNegativeInteger)
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| dbp:author
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- (en)
- David T. Jones (en)
- Daniel Buchan (en)
- Federico Minneci (en)
- Kevin Bryson (en)
- Liam McGuffin (en)
- Tim Nugent (en)
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| dbp:caption
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- Screenshot of PSIPRED website (en)
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| dbp:developer
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- University College London, Bioinformatics Group (en)
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| dbp:genre
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- Bioinformatics secondary structure prediction (en)
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| rdfs:comment
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- PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure (beta sheets, alpha helixes and coils) from the primary sequence. (en)
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