2018
DOI: 10.1002/prot.25533
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A benchmarking study on virtual ligand screening against homology models of human GPCRs

Abstract: G-protein-coupled receptor (GPCR) is an important target class of proteins for drug discovery, with over 27% of FDA-approved drugs targeting GPCRs. However, being a membrane protein, it is difficult to obtain the 3D crystal structures of GPCRs for virtual screening of ligands by molecular docking. Thus, we evaluated the virtual screening performance of homology models of human GPCRs with respect to the corresponding crystal structures. Among the 19 GPCRs involved in this study, we observed that 10 GPCRs have h… Show more

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Cited by 13 publications
(9 citation statements)
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“…It thus appears that the biasing is dependent on 1 or more of these deep‐pocket interactions. Despite the exploratory nature of these modeling results and the limitations of docking to GPCR crystal structures and homology models (45), they point to potential unique interactions of DPD and ORP with the receptor. These compounds may lock the receptor‐β‐arrestin complex in some way to mitigate internalization.…”
Section: Discussionmentioning
confidence: 99%
“…It thus appears that the biasing is dependent on 1 or more of these deep‐pocket interactions. Despite the exploratory nature of these modeling results and the limitations of docking to GPCR crystal structures and homology models (45), they point to potential unique interactions of DPD and ORP with the receptor. These compounds may lock the receptor‐β‐arrestin complex in some way to mitigate internalization.…”
Section: Discussionmentioning
confidence: 99%
“…In the next step of our modeling pipeline GPCR models were evaluated in the first stage VS procedure (enrichment studies) to retrieve the best-performing in VS receptors structures, following a well-established approach described, e.g., in [118]. For that first stage VS we used a set of 10 known active ligands retrieved from BindingDB [119] and Pubchem databases [120] for each receptor (see [25]) and 500 decoys (50 for each active ligand) generated via the DUD-E website (http://dude.docking.org/) [121].…”
Section: Methodsmentioning
confidence: 99%
“…The accuracy of the virtual screening was assessed using enrichment factor (EF) and logarithmic area under curve (logAUC), as described in Eqs. 2 and 3 (Fan et al 2009(Fan et al , 2012Mysinger and Shoichet 2010;Mysinger et al 2012;Lim et al 2018). The EF is the concentration of the true positives among the top-scoring docking hits compared to their concentration throughout the entire database:…”
Section: Evaluation Of Virtual Screening Resultsmentioning
confidence: 99%
“…Active total Δx and x = log 10 N subset N total , across all receptor structures (Fan et al 2009;Lim et al 2018).…”
Section: Evaluation Of Virtual Screening Resultsmentioning
confidence: 99%