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
(>>
more about STRUM ...).
[
Download STRUM Package]
[
Benchmark]
[
Sequences]
[
Example]
STRUM Resource:
References:
umich.edu
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