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References from pyCAST, a Python package for the detection of cavities on surface proteins. Local targets link to admitted publications; unresolved targets remain external evidence.
Visual analysis of biomolecular cavities: state of the art
10.1111/cgf.12928 · 2016 · External reference
Geometric detection algorithms for cavities on protein surfaces in molecular graphics: a survey
10.1111/cgf.13158 · 2017 · External reference
10.1016/0263-7855(92)80074-n
10.1016/0263-7855(92)80074-n · External reference
SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions
10.1016/0263-7855(95)00073-9 · 1995 · External reference
10.1016/s1093-3263(98)00002-3
10.1016/s1093-3263(98)00002-3 · External reference
10.1023/a:1008124202956
10.1023/a:1008124202956 · External reference
PocketPicker: analysis of ligand binding-sites with shape descriptors
10.1186/1752-153x-1-7 · 2007 · External reference
10.1002/pro.5560070905
10.1002/pro.5560070905 · External reference
10.1145/174462.156635
10.1145/174462.156635 · External reference
10.1016/s0166-218x(98)00067-5
10.1016/s0166-218x(98)00067-5 · External reference
CASTp: computed atlas of surface topography of proteins
10.1093/nar/gkg512 · 2003 · External reference
10.1093/nar/gky473
10.1093/nar/gky473 · External reference
A benchmark for protein cavity detection methods
10.1371/journal.pone.0223596 · 2019 · External reference
Protein–ligand binding site recognition
10.1016/j.cag.2022.07.005 · 2022 · External reference
LIGSITE csc: predicting ligand binding sites using the Connolly surface and degree of conservation
10.1186/1472-6807-6-19 · 2006 · External reference
Fpocket: an open source platform for ligand pocket detection
10.1186/1471-2105-10-168 · 2009 · External reference
10.1093/nar/gkl282
10.1093/nar/gkl282 · External reference
P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
10.1186/s13321-018-0285-8 · 2018 · External reference