Probabilistic grammatical model for helix‐helix contact site classification

What is it about?

We demonstrated that our probabilistic context-free framework for analysis of protein sequences outperforms the state of the art in the task of helix-helix contact site classification. However, this is achieved without necessarily requiring modeling long range dependencies between interacting residues. A significant feature of our approach is that grammar rules and parse trees are human-readable. Thus they could provide biologically meaningful information for molecular biologists.

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Why is it important?

A possible future application of our method is residue-residue contact prediction based on residue-residue dependencies derived from the parse tree of a helix sequence.