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ProteinStructure -> RankedList<BindingPocket>
Project points onto a protein's solvent-accessible surface, score them for ligandability using a machine learning classifier, and cluster high-scoring points to delineate binding pocket boundaries.
Problem it solves
Purely geometric pocket detection algorithms miss chemical environment cues, leading to low precision.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.