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.
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
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[Download STRUM Package
- Lijun Quan, Qiang Lv, Yang Zhang.
STRUM: Structure-based stability change prediction upon single-point mutation,
Bioinformatics, 2016: btw361.
(download the PDF file)