Additional predictive features of in vitro kinase substrates can be discriminated in the training data.

Distributions of empirical probabilities are represented by the kernel density estimate of the kinases’ respective Bernoulli probability parameters. Each feature trends towards higher probability in in vitro substrates than in other sites.