{"title":"天然产物的化学信息学分析:启发新药设计的自然经验。","authors":"Peter Ertl, Ansgar Schuffenhauer","doi":"10.1007/978-3-7643-8595-8_4","DOIUrl":null,"url":null,"abstract":"<p><p>Natural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biological macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of more than 130,000 NP structures. The physicochemical properties of NPs and their typical structural features are compared to those of bioactive molecules and average organic molecules. The relationship between the structure of NPs and the type of organism from which they have come has also been analyzed. The aim of this study was to identify those properties and structural features which are typical for NPs and discriminate this class of molecules from common synthetic molecules, with the ultimate goal being to provide a guide for the design of novel NP-like bioactive structures. Hopefully the results of this analysis help to eliminate the old myth about NPs as being 'too complex' or having 'bad properties', as well as help us to focus on these areas of NP structural space which are essential for biological activity, taking advantage of the process of natural selection over billions of years to guide us to new and as yet unexplored areas of the Chemical Structure Universe.</p>","PeriodicalId":20603,"journal":{"name":"Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des recherches pharmaceutiques","volume":"66 ","pages":"217, 219-35"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8595-8_4","citationCount":"47","resultStr":"{\"title\":\"Cheminformatics analysis of natural products: lessons from nature inspiring the design of new drugs.\",\"authors\":\"Peter Ertl, Ansgar Schuffenhauer\",\"doi\":\"10.1007/978-3-7643-8595-8_4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Natural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biological macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of more than 130,000 NP structures. The physicochemical properties of NPs and their typical structural features are compared to those of bioactive molecules and average organic molecules. The relationship between the structure of NPs and the type of organism from which they have come has also been analyzed. The aim of this study was to identify those properties and structural features which are typical for NPs and discriminate this class of molecules from common synthetic molecules, with the ultimate goal being to provide a guide for the design of novel NP-like bioactive structures. Hopefully the results of this analysis help to eliminate the old myth about NPs as being 'too complex' or having 'bad properties', as well as help us to focus on these areas of NP structural space which are essential for biological activity, taking advantage of the process of natural selection over billions of years to guide us to new and as yet unexplored areas of the Chemical Structure Universe.</p>\",\"PeriodicalId\":20603,\"journal\":{\"name\":\"Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des recherches pharmaceutiques\",\"volume\":\"66 \",\"pages\":\"217, 219-35\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/978-3-7643-8595-8_4\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des recherches pharmaceutiques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-7643-8595-8_4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des recherches pharmaceutiques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-7643-8595-8_4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cheminformatics analysis of natural products: lessons from nature inspiring the design of new drugs.
Natural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biological macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of more than 130,000 NP structures. The physicochemical properties of NPs and their typical structural features are compared to those of bioactive molecules and average organic molecules. The relationship between the structure of NPs and the type of organism from which they have come has also been analyzed. The aim of this study was to identify those properties and structural features which are typical for NPs and discriminate this class of molecules from common synthetic molecules, with the ultimate goal being to provide a guide for the design of novel NP-like bioactive structures. Hopefully the results of this analysis help to eliminate the old myth about NPs as being 'too complex' or having 'bad properties', as well as help us to focus on these areas of NP structural space which are essential for biological activity, taking advantage of the process of natural selection over billions of years to guide us to new and as yet unexplored areas of the Chemical Structure Universe.