{"title":"A QSAR and Pharmacophore Survey on Tyrosine Kinase Inhibitors with Effect on Epidermal Growth Factor Receptor","authors":"Atefeh Hajiagha Bozorgi, Fatemeh Samadi","doi":"10.2174/0115734080272807231127050546","DOIUrl":null,"url":null,"abstract":"Upon this, a large dataset of molecules was applied to create a QSAR model for the prediction of the inhibitory activity of molecules against the epidermal growth factor receptor. Using MOE software, molecular descriptors were calculated in 3d, and a model was built. 9 descriptors were selected, which describe the energy, shape, and hydrophobicity of the molecules. A pharmacophoric map was also created, and 3 important features were selected: Hydrophobic areas, H-bond acceptor regions, and Aromatic moieties. Upon this, a large dataset of molecules were applied to create a QSAR model for prediction of inhibitory activity of molecules against epidermal growth factor receptor. Using MOE software, molecular descriptors were calculate3d and a model was built These findings proved the results obtained result from the QSAR model. 9 descriptors were selected which are describe energy, shape and hydrophobicity of the molecules. Pharmacophoric map was also created and 3 important features were selected: Hydrophobic areas, H-bond acceptor regions and Aromatic moieties.","PeriodicalId":35405,"journal":{"name":"Current Enzyme Inhibition","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Enzyme Inhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115734080272807231127050546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 0
Abstract
Upon this, a large dataset of molecules was applied to create a QSAR model for the prediction of the inhibitory activity of molecules against the epidermal growth factor receptor. Using MOE software, molecular descriptors were calculated in 3d, and a model was built. 9 descriptors were selected, which describe the energy, shape, and hydrophobicity of the molecules. A pharmacophoric map was also created, and 3 important features were selected: Hydrophobic areas, H-bond acceptor regions, and Aromatic moieties. Upon this, a large dataset of molecules were applied to create a QSAR model for prediction of inhibitory activity of molecules against epidermal growth factor receptor. Using MOE software, molecular descriptors were calculate3d and a model was built These findings proved the results obtained result from the QSAR model. 9 descriptors were selected which are describe energy, shape and hydrophobicity of the molecules. Pharmacophoric map was also created and 3 important features were selected: Hydrophobic areas, H-bond acceptor regions and Aromatic moieties.
期刊介绍:
Current Enzyme Inhibition aims to publish all the latest and outstanding developments in enzyme inhibition studies with regards to the mechanisms of inhibitory processes of enzymes, recognition of active sites, and the discovery of agonists and antagonists, leading to the design and development of new drugs of significant therapeutic value. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a range of enzymes that can be exploited for drug development. Current Enzyme Inhibition is an essential journal for every pharmaceutical and medicinal chemist who wishes to have up-to-date knowledge about each and every development in the study of enzyme inhibition.