About MutPred

MutPred is a web application tool developed to classify an amino acid substitution (AAS) as disease-associated or neutral in human. In addition, it predicts molecular cause of disease / deleterious AAS. MutPred is based upon SIFT[2] and a gain/loss of 14 different structural and functional properties. For instance, gain of helical propensity or loss of a phosphorylation site. It was trained using the deleterious mutations from the Human Gene Mutation Database[3] and neutral polymorphisms from Swiss-Prot[1].

How do I interpret the results?
The output of MutPred contains a general score (g), i.e. the probability that the amino acid substitution is deleterious / disease-associated (second column in the result table), and top 5 property scores (p), where p is the P-value that certain structural and functional properties are impacted (last column).
Certain combinations of high values of general scores and low values of property scores are referred to as hypotheses.

1. Scores with g > 0.5 and p < 0.05 are referred to as actionable hypotheses.
2. Scores with g > 0.75 and p < 0.05 are referred to as confident hypotheses.
3. Scores with g > 0.75 and p < 0.01 are referred to as very confident hypotheses.

MutPred is a collaborative effort between the Mooney group from the Buck Institute for Age Research and the Radivojac group from the School of Informatics and Computing, Indiana University.

We welcome any suggestions and comments.

Supported By

The work is funded by:

• NIH K22LM009135 (PI: Mooney)
• NIH 1R01LM009722 (PI: Mooney)
• Indiana Genomics Initiative. The Indiana Genomics Initiative (INGEN) is supported in part by Lily Endowment.
• National Science Foundation, DBI‐0644017 (PI: Predrag Radivojac)

Citing This Web Site

Li B, Krishnan VG, Mort ME, Xin F, Kamati KK, Cooper DN, Mooney SD, Radivojac P. Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics (2009) 25(21): 2744-2750.

References

• Boeckmann, B., et al. (2003) The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003, Nucleic Acids Res, 31, 365-370.
• Ng, P.C. and Henikoff, S. (2003) SIFT: Predicting amino acid changes that affect protein function, Nucleic Acids Res, 31, 3812-3814.
• Stenson, P.D., et al. (2009) The Human Gene Mutation Database: 2008 update, Genome Med, 1, 13.

Contact Us

Dr. Predrag Radivojac
Assistant Professor
School of Informatics and Computing
Indiana University
901 E. 10th Street
Bloomington, IN 47408
Tel: (812) 856-1851
Web: www.informatics.indiana.edu/predrag

Dr. Sean Mooney
Associate Professor and Director of Bioinformatics
Buck Institute for Age Research
8001 Redwood Blvd.
Novato, CA 94945
Web: http://www.buckinstitute.org/TheScience/TheMooney

Disclaimer

The purpose of this resource is to distribute functional prediction of mutation data. The data is meant to be used for basic research. Do not use this data to make clinical decisions.