{"title":"有机合成设计程序(SECS)知识库的自动构建","authors":"Mikiro Yanaka , Kazuhiko Nakamura , Azusa Kurumisawa , W. Todd Wipke ∗","doi":"10.1016/0898-5529(90)90062-D","DOIUrl":null,"url":null,"abstract":"<div><p>SECS (Simulation and Evaluation of Chemical Synthesis) is a retrosynthetic organic synthesis design program. Building a large knowledge base is required in order to solve important synthesis problems in industry. We developed a method that automatically builds a large ALCHEM transform library. Fifteen thousand reactions have been built. These were modified and reorganized into a form usable by SECS. At the same time, we added an additional strategy generation function to the SECS strategy module. We present our method and an example of a SECS analysis of a target molecule using our large ALCHEM knowledge base.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":"3 6","pages":"Pages 359-375"},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90062-D","citationCount":"9","resultStr":"{\"title\":\"Automatic knowledge base building for the organic synthesis design program (SECS)\",\"authors\":\"Mikiro Yanaka , Kazuhiko Nakamura , Azusa Kurumisawa , W. Todd Wipke ∗\",\"doi\":\"10.1016/0898-5529(90)90062-D\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>SECS (Simulation and Evaluation of Chemical Synthesis) is a retrosynthetic organic synthesis design program. Building a large knowledge base is required in order to solve important synthesis problems in industry. We developed a method that automatically builds a large ALCHEM transform library. Fifteen thousand reactions have been built. These were modified and reorganized into a form usable by SECS. At the same time, we added an additional strategy generation function to the SECS strategy module. We present our method and an example of a SECS analysis of a target molecule using our large ALCHEM knowledge base.</p></div>\",\"PeriodicalId\":101214,\"journal\":{\"name\":\"Tetrahedron Computer Methodology\",\"volume\":\"3 6\",\"pages\":\"Pages 359-375\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0898-5529(90)90062-D\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tetrahedron Computer Methodology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/089855299090062D\",\"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/089855299090062D","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
SECS (Simulation and Evaluation of Chemical Synthesis)是一个反合成有机合成设计程序。为了解决工业中重要的合成问题,需要建立一个庞大的知识库。我们开发了一种自动构建大型ALCHEM转换库的方法。已经建立了15000个反应。这些被修改和重组成SECS可用的形式。同时,我们在SECS策略模块中增加了额外的策略生成功能。我们提出了我们的方法和一个使用我们的大型ALCHEM知识库对目标分子进行SECS分析的例子。
Automatic knowledge base building for the organic synthesis design program (SECS)
SECS (Simulation and Evaluation of Chemical Synthesis) is a retrosynthetic organic synthesis design program. Building a large knowledge base is required in order to solve important synthesis problems in industry. We developed a method that automatically builds a large ALCHEM transform library. Fifteen thousand reactions have been built. These were modified and reorganized into a form usable by SECS. At the same time, we added an additional strategy generation function to the SECS strategy module. We present our method and an example of a SECS analysis of a target molecule using our large ALCHEM knowledge base.