2023
DOI: 10.1093/bioinformatics/btad212
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Pocket to concavity: a tool for the refinement of protein–ligand binding site shape from alpha spheres

Abstract: Summary Understanding the binding site of the target protein is essential for rational drug design. Pocket detection software predicts the ligand binding site of the target protein; however, the predicted protein pockets are often excessively estimated in comparison with the actual volume of the bound ligands. This study proposes a refinement tool for the pockets predicted by an alpha sphere-based approach, Pocket to Concavity (P2C). P2C is divided into two modes: Ligand-Free (LF) and Ligand-… Show more

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Cited by 3 publications
(4 citation statements)
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“…In the first step of the SINCHO protocol, the growth sites where the lead functional groups can be placed were identified. P2C was used for the first step . P2C accurately searches for deep concavities in the target protein based on the default pockets obtained from sphere-based pocket detection software.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…In the first step of the SINCHO protocol, the growth sites where the lead functional groups can be placed were identified. P2C was used for the first step . P2C accurately searches for deep concavities in the target protein based on the default pockets obtained from sphere-based pocket detection software.…”
Section: Methodsmentioning
confidence: 99%
“…P2C was used for the first step. 35 P2C accurately searches for deep concavities in the target protein based on the default pockets obtained from sphere-based pocket detection software. The ligand-bound (LB) mode in P2C provides growth sites around the hit compound.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations