1. Q: How to read the results of HybridSucc?

A: Here we use the human pyruvate kinase M2 (PKM2) protein as the example. After clicking "Submit", the prediction results will be shown as follows:

ID: The name or ID of the protein sequence that you input to predict.

Position: The position of the site which is predicted to be succinylated.

Peptide: The predicted succinylation peptide with 7 amino acids upstream and 7 amino acids downstream around the modified residue.

Score: The value to evaluate the potential of Ksucc. The higher the value, the more potential the residue is succinylated.

Cutoff: The cutoff value under the threshold. Different threshold means different precision, sensitivity and specificity.

Probability: The Bayesian posterior probability (p(P|Score)).

2. Q: How to choose the cut-off values and the thresholds?

A: The three thresholds were decided based on calculated specificity. For all species, the high, medium and low thresholds were established with specificity of 95%, 90% and 85%. The high threshold was suitable for large-scale prediction of Ksucc sites, and the medium threshold relaxed the stringency to be useful in small-scale experiments. Also, the low threshold reduced the specificity to improve sensitivity considerably to be useful in exhaustively experimental identifying all potential Ksucc sites in substrates.

3. Q: I have a few questions which are not listed above, how can I contact the authors of HybridSucc?

A: Please contact the authors through email, thanks.