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Predictor of human Deleterious Single Nucleotide Polymorphisms PhD-SNP

A method based on support vector machines (SVMs) that starting from the protein sequence information can predict whether a new phenotype derived from a nsSNP can be related to a genetic disease in humans. Using a dataset of 21,185 single point mutations, 61% of which are disease-related, out of 3,587 proteins, we show that our predictor can reach more than 74% accuracy in the specific task of predicting whether a single point mutation can be disease related or not.

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PhD-SNP classification

  • Animals
    • Homo sapiens

PhD-SNP specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux
Computer skills:
Advanced
Maintained:
Yes

PhD-SNP distribution

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PhD-SNP forum

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No open topic.

PhD-SNP classification

  • Animals
    • Homo sapiens

PhD-SNP specifications

Interface:
Web user interface
Programming languages:
Python
Stability:
Stable
Restrictions to use:
None
Computer skills:
Basic
Maintained:
Yes

PhD-SNP support

Maintainer

  • Emidio Capriotti <>
  • Emidio Capriotti <>

Credits

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Publications

Institution(s)

Laboratory of Biocomputing, CIRB/Department of Biology, University of Bolognavia Irnerio, Bologna, Italy

Link to literature

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