Datasets
Datasets for training, testing and casestudy
Our work used datasets S1676, S236, S543 to investigate the prediction of stability changes on protein (Table S1).
Table S1 Datasets used to build, evaluate and independently test in SCpre-seq
Dataset |
Total Variants (Proteins) |
Destabilizing Variants (Proteins) |
Stabilizing Variants (Proteins) |
Stabilizing Variants (Proteins) |
Additional Details |
|---|---|---|---|---|---|
S1676 |
1676 (67) |
1,223 (64) |
424 (53) |
29(4) |
Unique Variants/Averaged DDG |
S236 |
236 (22) |
192 (18) |
42 (14) |
2(2) |
Unique Variants/Averaged DDG |
S543 |
543(55) |
426(48) |
107(37) |
10(6) |
Unique Variants/Averaged DDG |
p53 |
42 (1) |
31(1) |
11 (1) |
0 |
One Protein |
Databases and references
Folkman, L., et al., EASE-MM: Sequence-Based Prediction of Mutation-Induced Stability Changes with Feature-Based Multiple Models. J Mol Biol, 2016. 428(6): p. 1394-1405.
Pires, D.E., D.B. Ascher, and T.L. Blundell, mCSM: predicting the effects of mutations in proteins using graph-based signatures. Bioinformatics, 2014. 30(3): p. 335-42.
Datasets with features
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