Roll: a new algorithm for the detection of protein pockets and cavities with a rolling probe sphere

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Structural Predictions of the SNX-RGS Proteins Suggest They Belong to a New Class of Lipid Transfer Proteins (2021, positive): “The far right panel shows the solvent accessible cavity (red surface representation) identified with POCASA56 and the volume (Å3) of the largest identified cavity is indicated.”
Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data? (2018, methodology): “Binding site volumes were calculated considering a probe radius of the probe sphere of 1 Å, single point flag of 12, protein depth flag of 18, and grid size of 1 Å [47].”
PrankWeb: a web server for ligand binding site prediction and visualization (2019, background): “Fpocket (2), SiteHound (3), ConCavity (4), POCASA (5), MetaPocket 2.”
Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies (2019, methodology): “A point, once the contribution of all its neighboring points is computed, will be deemed a pocket or cavity point if its SPF value is higher than the SPF threshold that is assigned by the user or automatically adjusted by Roll.”