PSIPRED
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.
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PSIPRED
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.
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PSI-blast based secondary stru ...... the software and its results.
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2018-09-26
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42,173,089
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1,019,941,826
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author
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Daniel Buchan
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David T. Jones
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Federico Minneci
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Kevin Bryson
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Tim Nugent
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caption
Screenshot of PSIPRED website
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developer
University College London, Bioinformatics Group
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genre
Bioinformatics secondary structure prediction
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language
English
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latest release date
2018-09-26
latest release version
name
PSIPRED
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size
14 MB
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PSI-blast based secondary stru ...... ls) from the primary sequence.
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PSIPRED
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PSIPRED
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