AI LAB

OPAL

Prediction of MoRF regions in Intrinsically disordered protein sequence. (ACADEMIC USE ONLY)

Algorithm Computation


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Average processing time per sequence is 15 minutes
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References

Sharma, R., Tsunoda, T., Raicar, G., Patil, A. and Sharma, A., OPAL: Prediction of MoRF regions in Intrinsically disordered protein sequence, Bioinformatics, 2018.

Sharma, R., Kumar, S., Tsunoda, T., Patil, A. and Sharma, A., Predicting MoRFs in Protein Sequences using HMM Profiles (https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1375-0), BMC Bioinformatics, 2016; 17 Suppl X, S14.

Disfani FM, Hsu WL, Mizianty MJ, Oldfield CJ, Xue B, Dunker AK, et al. MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins (https://www.ncbi.nlm.nih.gov/pubmed/22689782). Bioinformatics, 2012 Jun 15; 28 (12): i75–i83.

Malhis N, and Gsponer J. Computational Identification of MoRFs in Protein Sequences (https://www.ncbi.nlm.nih.gov/pubmed/25637562). Bioinformatics (2015) 31 (11): 1738-1744.

Notes

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