Computer-assistant Drug Discovery with the Netezza Architecture
While relational databases have become critically important in business applications and web services, they have played a relatively minor role in scientific computing, especially in computer-assistant drug discovery, which has generally been concerned with modeling and simulation activities. However, massively parallel database architectures are beginning to offer the ability to quickly search through terabytes of data with hundred-fold or even thousand-fold speedup over server-based architectures. These new machines may enable an entirely new class of algorithms for scientific applications. The drug discovery and development community is able now to make good use of these new database machines.
Netezza architecture durg discovery database scientificcomputing modeling
Li Bai Guy M Lingani William Southerland Qitai Xu Clay S Gloster Zengjian Hu
Laboratory of Cell and Molecular Immunology College of Medicine, Henan University Kaifeng, Henan 475 Department of Biochemistry and Molecular Biology Howard University College of Medicine Washington, D Department of Biochemistry and Molecular BiologyHoward University College of MedicineWashington, DC Department of Pharmacology Pharmacy College of Henan University Kaifeng, Henan 475001, China Department of Electrical Engineering Howard University Washington, DC 20059, USA
国际会议
上海
英文
1319-1322
2008-05-16(万方平台首次上网日期,不代表论文的发表时间)