2018
DOI: 10.1093/nar/gky380
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CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction

Abstract: CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a given protein structure and rank them based on ligandability and druggability scores. These potential binding sites can be further analysed using three submodules, CavPharmer, CorrSite, and CovCys. CavPharmer uses a receptor-based pharmacophore modelling program, Pocke… Show more

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Cited by 247 publications
(181 citation statements)
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“…Fpocket webserver 26 and PLIC 27 are based on Fpocket. CavityPlus 28 and iDrug 29 are based on Cavity, which is mainly focused on predicting sites for covalent ligand binding. DoGSiteScorer 30 and PockDrug webserver 31 are the web interfaces of DoGSite and PockDrug, respectively.…”
Section: State-of-the-art In Determining Protein Druggabilitymentioning
confidence: 99%
“…Fpocket webserver 26 and PLIC 27 are based on Fpocket. CavityPlus 28 and iDrug 29 are based on Cavity, which is mainly focused on predicting sites for covalent ligand binding. DoGSiteScorer 30 and PockDrug webserver 31 are the web interfaces of DoGSite and PockDrug, respectively.…”
Section: State-of-the-art In Determining Protein Druggabilitymentioning
confidence: 99%
“…">To account for the amount and type of amino acid interactions involved in the interfaces between α/β‐globins, α‐globin and AHSP, along with the contacts with the heme and the allosteric modulator 2,3‐DPG, RING (Martin et al, ), and LPC/CSU softwares (Sobolev, Sorokine, Prilusky, Abola, & Edelman, ) were employed. O 2 gate access involved residues were analyzed in different conformations, considering the available data (Boechi et al, ; Bringas, Petruk, Estrin, Capece, & Martí, ), and pockets and cavities estimation was performed using FPocket and CavityPlus programs (Le Guilloux, Schmidtke, & Tuffery, ; Xu et al, ). Missense variants were also analyzed with the sequence‐based predictors PROVEAN (http://provean.jcvi.org/index.php; Choi & Chan, ), SIFT (http://siftdna.org/www/Extended_SIFT_chr_coords_submit.html; Sim et al, ), Panther (http://www.pantherdb.org/tools/csnpScore.do; Mi, Muruganujan, & Thomas, ), SNAP2 (https://open.predictprotein.org/; Bromberg & Rost, ), and with the sequence‐ and structure‐based PolyPhen‐2 (HumVar trained model) (http://genetics.bwh.harvard.edu/pph2/; Adzhubei et al, ). …”
Section: Methodsmentioning
confidence: 99%
“…O 2 gate access involved residues were analyzed in different conformations, considering the available data (Boechi et al, ; Bringas, Petruk, Estrin, Capece, & Martí, ), and pockets and cavities estimation was performed using FPocket and CavityPlus programs (Le Guilloux, Schmidtke, & Tuffery, ; Xu et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…The crystal structures of PR and RT used in this study are downloaded from the RCSB Protein Data Bank (Berman et al, 2003) (PDB code: 3A2O, Hidaka et al, 2009, and4G1Q, Kuroda et al, 2013, respectively), and both structures are complexes with potent inhibitors solved at high resolution (0.88 and 1.51 Å, respectively). The inhibitor binding sites of PR and RT were defined by binding site detection program Cavity (Yuan et al, 2013;Zhang et al, 2015;Xu et al, 2018), which provides the detailed definition for boundary of "design space." The drug-like and privileged building blocks used in this study were inherited from LigBuilder V2.…”
Section: Structural Preparationmentioning
confidence: 99%