{"title":"蛋白质结合位点预测的并行算法","authors":"M. Mirto, G. Aloisio","doi":"10.1109/3PGCIC.2015.123","DOIUrl":null,"url":null,"abstract":"The Pocket-Finder algorithm identifies the location of ligand binding sites in a protein and is a fundamental component for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. In this paper, we propose a parallel version of the Pocket-Finder algorithm. The proposed parallel algorithm uses a geometrical approach to locate favorable binding sites and has been MPI-enabled for parallel execution. The proposed algorithm has been applied on a small test of 15 proteins and 2 proteins complexes. The algorithm gets very interesting results when applied to large proteins.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"295 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Parallel Algorithm for the Prediction of Protein Binding Sites\",\"authors\":\"M. Mirto, G. Aloisio\",\"doi\":\"10.1109/3PGCIC.2015.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Pocket-Finder algorithm identifies the location of ligand binding sites in a protein and is a fundamental component for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. In this paper, we propose a parallel version of the Pocket-Finder algorithm. The proposed parallel algorithm uses a geometrical approach to locate favorable binding sites and has been MPI-enabled for parallel execution. The proposed algorithm has been applied on a small test of 15 proteins and 2 proteins complexes. The algorithm gets very interesting results when applied to large proteins.\",\"PeriodicalId\":395401,\"journal\":{\"name\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"volume\":\"295 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3PGCIC.2015.123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2015.123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Parallel Algorithm for the Prediction of Protein Binding Sites
The Pocket-Finder algorithm identifies the location of ligand binding sites in a protein and is a fundamental component for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. In this paper, we propose a parallel version of the Pocket-Finder algorithm. The proposed parallel algorithm uses a geometrical approach to locate favorable binding sites and has been MPI-enabled for parallel execution. The proposed algorithm has been applied on a small test of 15 proteins and 2 proteins complexes. The algorithm gets very interesting results when applied to large proteins.