{"title":"CLUSMOL:分子概念聚类系统","authors":"Takashi Okada , W.Todd Wipke ∗","doi":"10.1016/0898-5529(89)90019-5","DOIUrl":null,"url":null,"abstract":"<div><p>CLUSMOL is designed to conceptualize the chemist's understanding of a group of molecules, by creating taxonomic trees, in which structurally similar molecules are placed in the close leaf nodes, while the intermediary nodes represent the maximal common substructures for the leaf structures under the node. The system is tested on some antibiotics and shown to be useful for lead structure recognition in drug design.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":"2 4","pages":"Pages 249-264"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(89)90019-5","citationCount":"13","resultStr":"{\"title\":\"CLUSMOL: A system for the conceptual clustering of molecules\",\"authors\":\"Takashi Okada , W.Todd Wipke ∗\",\"doi\":\"10.1016/0898-5529(89)90019-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>CLUSMOL is designed to conceptualize the chemist's understanding of a group of molecules, by creating taxonomic trees, in which structurally similar molecules are placed in the close leaf nodes, while the intermediary nodes represent the maximal common substructures for the leaf structures under the node. The system is tested on some antibiotics and shown to be useful for lead structure recognition in drug design.</p></div>\",\"PeriodicalId\":101214,\"journal\":{\"name\":\"Tetrahedron Computer Methodology\",\"volume\":\"2 4\",\"pages\":\"Pages 249-264\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0898-5529(89)90019-5\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tetrahedron Computer Methodology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0898552989900195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tetrahedron Computer Methodology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0898552989900195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CLUSMOL: A system for the conceptual clustering of molecules
CLUSMOL is designed to conceptualize the chemist's understanding of a group of molecules, by creating taxonomic trees, in which structurally similar molecules are placed in the close leaf nodes, while the intermediary nodes represent the maximal common substructures for the leaf structures under the node. The system is tested on some antibiotics and shown to be useful for lead structure recognition in drug design.