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SAP Disease-Association Predictor SAPRED

Offers the researchers an automatic pipeline to predict the disease-association of single amino acid polymorphisms (SAPs). Through a strict protein-level 5-fold cross-validation, SAPRED attained an overall accuracy of 82.61%, and an MCC of 0.60. A web server was developed to provide a user-friendly interface for biologists.

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SAPRED classification

SAPRED specifications

Web user interface
Input data:
SAPRED server requires as input a FASTA-format protein sequence, a mutation in the form of A#B, where A and B represent the single-letter code of amino acid and # represents the position of the substitution, and two PDB-format files describing the structures of the wild-type and variant protein.
Computer skills:
Restrictions to use:
Output data:
The output contains the predicted result and the prediction confidence, as well as the values of all attributes to help elucidate the putative biological insights.

SAPRED support


  • SAPRED Team <>


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Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University, Beijing, China

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