Cross-validation and independent test datasets.

We used the experimentally verified Cysteine S-sulphenylation (CSO) peptides data derived from proteomic assays [1-5]. We prepared the benchmark data sets using several filters described in our manuscript. Finally, the dataset was randomly divided into two groups: the cross-validation dataset and the independent test dataset.

Dataset downloads:

Model downloads:


References:

[1] Akter, S., et al., Chemical proteomics reveals new targets of cysteine sulfinic acid reductase. Nat Chem Biol, 2018. 14(11): p. 995-1004.
[2] Yang, J., et al., Site-specific mapping and quantification of protein S-sulphenylation in cells. Nat Commun, 2014. 5: p. 4776.
[3] Gupta, V., et al., Diverse Redoxome Reactivity Profiles of Carbon Nucleophiles. J Am Chem Soc, 2017. 139(15): p. 5588-5595.
[4] Li, R., et al., Quantitative Protein Sulfenic Acid Analysis Identifies Platelet Releasate-Induced Activation of Integrin beta2 on Monocytes via NADPH Oxidase. J Proteome Res, 2016. 15(12): p. 4221-4233.
[5] Huang, J., et al., Mining for protein S-sulfenylation in Arabidopsis uncovers redox-sensitive sites. Proc Natl Acad Sci U S A, 2019. 116(42): p. 21256-21261.