{"title":"Quasi‐atomistic Receptor Surrogates for the 5‐HT2A Receptor: A 3D‐QSAR Study on Hallucinogenic Substances","authors":"Meike Schulze-Alexandru, K. Kovar, A. Vedani","doi":"10.1002/(SICI)1521-3838(199912)18:6<548::AID-QSAR548>3.0.CO;2-B","DOIUrl":null,"url":null,"abstract":"The 5-HT2A receptor is known to act as the biological target for a series of hallucinogenic substances including substituted phenylalkylamines, tryptamines and LSD. A prerequisite for a hallucinogenic effect is an agonistic binding mode to the high-affinity state of the receptor. Attempts to establish a quantitative structure-activity relationship for such compounds are typically based on homology models or 3D-QSAR. In this paper, we describe a surrogate for the 5-HT2A receptor derived by means of quasi-atomistic receptor modeling (software Quasar), a more recently developed 3D-QSAR technique. This approach allows for the simulation of local induced fit, H-bond flip-flop, and solvation phenomena. The QSARs are established based on a family of receptor-surface models, generated by a genetic algorithm combined with cross-validation. The surrogate for the 5-HT2A receptor yielded a cross-validated q 2 of 0.954 for the 23 compounds defining the training set. A series of 7 test compounds was then used to validate the model, resulting in a RMS deviation of 0.40 kcalymol between DG 0 prd. and DG 0 exp.. The largest individual deviation was 0.61 kcaly mol, corresponding to an uncertainty of a factor 2.7 in the binding affinity. A scramble test with negative outcome (q 2 a 0.144, slopea 7 0.019) demonstrates the sensitivity of the model with respect to the biological data. Subsequently, the surrogate was used to estimate the activity of a series of 53 hypothetical congeneric compounds, some of which are predicted to be close in activity to LSD.","PeriodicalId":20818,"journal":{"name":"Quantitative Structure-activity Relationships","volume":"36 1","pages":"548-560"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Structure-activity Relationships","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1521-3838(199912)18:6<548::AID-QSAR548>3.0.CO;2-B","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The 5-HT2A receptor is known to act as the biological target for a series of hallucinogenic substances including substituted phenylalkylamines, tryptamines and LSD. A prerequisite for a hallucinogenic effect is an agonistic binding mode to the high-affinity state of the receptor. Attempts to establish a quantitative structure-activity relationship for such compounds are typically based on homology models or 3D-QSAR. In this paper, we describe a surrogate for the 5-HT2A receptor derived by means of quasi-atomistic receptor modeling (software Quasar), a more recently developed 3D-QSAR technique. This approach allows for the simulation of local induced fit, H-bond flip-flop, and solvation phenomena. The QSARs are established based on a family of receptor-surface models, generated by a genetic algorithm combined with cross-validation. The surrogate for the 5-HT2A receptor yielded a cross-validated q 2 of 0.954 for the 23 compounds defining the training set. A series of 7 test compounds was then used to validate the model, resulting in a RMS deviation of 0.40 kcalymol between DG 0 prd. and DG 0 exp.. The largest individual deviation was 0.61 kcaly mol, corresponding to an uncertainty of a factor 2.7 in the binding affinity. A scramble test with negative outcome (q 2 a 0.144, slopea 7 0.019) demonstrates the sensitivity of the model with respect to the biological data. Subsequently, the surrogate was used to estimate the activity of a series of 53 hypothetical congeneric compounds, some of which are predicted to be close in activity to LSD.