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STRUM is a method for predicting the fold stability change (ΔΔG) of protein molecules upon single-point nsSNP mutations. STRUM adopts a gradient boosting regression approch to train the Gibbs free-energy changes on a variety of features at different levels of sequence and structure properties.

Mutation of a single amino acid residue can cause changes in a protein, which could then lead to a loss of protein function. Predicting the protein stability.

The unique characteristics of STRUM is the combination of sequence profiles with low-resolution structure models from protein structure prediction, which helps enhance the robustness and accuracy of the method and make it applicable to various protein seqences, including those without experimental structures (>> ). [] [] [] [] Please copy and paste your data below (either [10,1500] residues sequence in or experimental structure in is acceptable) Or upload the sequence/stucture file: Mode I: Single-point mutations Mode II: Systematic Email: (Mandatory, where results will be sent to. Only academic emails will be accepted.) ID: (Optional, your given name to this protein) STRUM Resource: References: • Lijun Quan, Qiang Lv, Yang Zhang. STRUM: Structure-based stability change prediction upon single-point mutation, Bioinformatics, 32: 2911-19 (2016) (download or ) (734) 647-1549 100 Washtenaw Avenue, Ann Arbor, MI.