Saloni Yadav, Sweta S Koka, Priya Jain, G N Darwhekar, Kuldeep Vinchurkar
{"title":"现代药物发现的基本数据库资源。","authors":"Saloni Yadav, Sweta S Koka, Priya Jain, G N Darwhekar, Kuldeep Vinchurkar","doi":"10.1016/bs.apha.2025.01.002","DOIUrl":null,"url":null,"abstract":"<p><p>In the fast-expanding field of drug discovery, researchers and pharmaceutical professionals require immediate access to critical database resources. This book chapter explains essential databases used in various stages of drug development, such as target selection, chemical screening, and clinical trial management. Databases including PubChem, ChEMBL, and Drug Bank, highlight their contributions to providing detailed chemical knowledge, biological activity data, and drug interaction profiles. Using powerful computer programs like AI and machine learning to combine data from these sources improves decision-making, speeds up time-to-market, and raises the chances of finding effective medicines. This book chapter signifies the importance of key databases, their uses, and how they integrate into the current drug discovery process.</p>","PeriodicalId":7366,"journal":{"name":"Advances in pharmacology","volume":"103 ","pages":"81-100"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Essential database resources for modern drug discovery.\",\"authors\":\"Saloni Yadav, Sweta S Koka, Priya Jain, G N Darwhekar, Kuldeep Vinchurkar\",\"doi\":\"10.1016/bs.apha.2025.01.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the fast-expanding field of drug discovery, researchers and pharmaceutical professionals require immediate access to critical database resources. This book chapter explains essential databases used in various stages of drug development, such as target selection, chemical screening, and clinical trial management. Databases including PubChem, ChEMBL, and Drug Bank, highlight their contributions to providing detailed chemical knowledge, biological activity data, and drug interaction profiles. Using powerful computer programs like AI and machine learning to combine data from these sources improves decision-making, speeds up time-to-market, and raises the chances of finding effective medicines. This book chapter signifies the importance of key databases, their uses, and how they integrate into the current drug discovery process.</p>\",\"PeriodicalId\":7366,\"journal\":{\"name\":\"Advances in pharmacology\",\"volume\":\"103 \",\"pages\":\"81-100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in pharmacology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/bs.apha.2025.01.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/bs.apha.2025.01.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
Essential database resources for modern drug discovery.
In the fast-expanding field of drug discovery, researchers and pharmaceutical professionals require immediate access to critical database resources. This book chapter explains essential databases used in various stages of drug development, such as target selection, chemical screening, and clinical trial management. Databases including PubChem, ChEMBL, and Drug Bank, highlight their contributions to providing detailed chemical knowledge, biological activity data, and drug interaction profiles. Using powerful computer programs like AI and machine learning to combine data from these sources improves decision-making, speeds up time-to-market, and raises the chances of finding effective medicines. This book chapter signifies the importance of key databases, their uses, and how they integrate into the current drug discovery process.