{"title":"第三代密度泛函法计算蛋白质典型分子轨道的研究进展","authors":"T. Hirano, F. Sato","doi":"10.1063/1.5137920","DOIUrl":null,"url":null,"abstract":"Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.","PeriodicalId":20565,"journal":{"name":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019)","volume":"55 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent progress of protein canonical molecular orbital calculation by the third generation density functional method\",\"authors\":\"T. Hirano, F. Sato\",\"doi\":\"10.1063/1.5137920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.\",\"PeriodicalId\":20565,\"journal\":{\"name\":\"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019)\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/1.5137920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5137920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent progress of protein canonical molecular orbital calculation by the third generation density functional method
Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.Although canonical molecular orbital (CMO) calculations for proteins are very useful for protein engineering, they are computationally expensive and difficult to achieve because proteins are large molecules. We had developed the third-generation density functional (3G DF) method, which performed electronic state calculation with high efficiency in parallel computer by performing only matrix operation during the SCF calculation. In this study, by applying the powerful computing platform of graphic processing unit (GPU) to our 3G DF calculation method, we constructed a computing environment that achieved the large-scale CMO computation with high efficiency.