{"title":"IDENTIFYING NEW 9-ANILINOACRIDINE-BASED PARP1 INHIBITORS USING TEXT MINING AND INTEGRATED MOLECULAR MODELING APPROACHES","authors":"","doi":"10.31838/ecb/2022.11.05.004","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":11880,"journal":{"name":"European Chemical Bulletin","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Chemical Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31838/ecb/2022.11.05.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Chemistry","Score":null,"Total":0}
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