{"title":"SS3D-P2:基于二级结构元素的蛋白质基序的三维亚结构搜索程序。","authors":"H Kato, Y Takahashi","doi":"10.1093/bioinformatics/13.6.593","DOIUrl":null,"url":null,"abstract":"<p><p>This paper discusses the implementation of a three-dimensional (3D) structure motif search of proteins. Each protein structure is represented by a set of secondary structure elements (SSEs) which involves alpha-helix segments and beta-strand segments. In describing it, every SSE is further reduced into a two-node graph that consists of the starting amino acid residue, the ending residue and a pseudo-bond between them. The searching algorithm is based on a graph theoretical clique-finding algorithm that has been used for 3D substructure searching in small organic molecules. The program SS3D-P2 was validated using proteins that have well-known 3D motifs, and it correctly found the Greek key motif within an eye lens protein, crystallin, that consists of four anti-parallel beta strands. The program was also successfully applied to searching for the more complex 3D motif, TIM-type beta-barrel motif, with a protein structure database from the Protein Data Bank.</p>","PeriodicalId":77081,"journal":{"name":"Computer applications in the biosciences : CABIOS","volume":"13 6","pages":"593-600"},"PeriodicalIF":0.0000,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/bioinformatics/13.6.593","citationCount":"11","resultStr":"{\"title\":\"SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements.\",\"authors\":\"H Kato, Y Takahashi\",\"doi\":\"10.1093/bioinformatics/13.6.593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper discusses the implementation of a three-dimensional (3D) structure motif search of proteins. Each protein structure is represented by a set of secondary structure elements (SSEs) which involves alpha-helix segments and beta-strand segments. In describing it, every SSE is further reduced into a two-node graph that consists of the starting amino acid residue, the ending residue and a pseudo-bond between them. The searching algorithm is based on a graph theoretical clique-finding algorithm that has been used for 3D substructure searching in small organic molecules. The program SS3D-P2 was validated using proteins that have well-known 3D motifs, and it correctly found the Greek key motif within an eye lens protein, crystallin, that consists of four anti-parallel beta strands. The program was also successfully applied to searching for the more complex 3D motif, TIM-type beta-barrel motif, with a protein structure database from the Protein Data Bank.</p>\",\"PeriodicalId\":77081,\"journal\":{\"name\":\"Computer applications in the biosciences : CABIOS\",\"volume\":\"13 6\",\"pages\":\"593-600\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/bioinformatics/13.6.593\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer applications in the biosciences : CABIOS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/bioinformatics/13.6.593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer applications in the biosciences : CABIOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/13.6.593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements.
This paper discusses the implementation of a three-dimensional (3D) structure motif search of proteins. Each protein structure is represented by a set of secondary structure elements (SSEs) which involves alpha-helix segments and beta-strand segments. In describing it, every SSE is further reduced into a two-node graph that consists of the starting amino acid residue, the ending residue and a pseudo-bond between them. The searching algorithm is based on a graph theoretical clique-finding algorithm that has been used for 3D substructure searching in small organic molecules. The program SS3D-P2 was validated using proteins that have well-known 3D motifs, and it correctly found the Greek key motif within an eye lens protein, crystallin, that consists of four anti-parallel beta strands. The program was also successfully applied to searching for the more complex 3D motif, TIM-type beta-barrel motif, with a protein structure database from the Protein Data Bank.