Hydra: A Self Regenerating High Performance Computing Grid for Drug Discovery

2008 ◽  
Vol 48 (4) ◽  
pp. 811-816 ◽  
Author(s):  
Drew Bullard ◽  
Alberto Gobbi ◽  
Matthew A. Lardy ◽  
Charles Perkins ◽  
Zach Little
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Computing Grid ◽  
Performance Computing

ChemInform Abstract: Hydra: A Self Regenerating High Performance Computing Grid for Drug Discovery.

ChemInform ◽  
2008 ◽  
Vol 39 (29) ◽  
Author(s):  
Drew Bullard ◽  
Alberto Gobbi ◽  
Matthew A. Lardy ◽  
Charles Perkins ◽  
Zach Little
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Computing Grid ◽  
Performance Computing

scholarly journals Is high performance computing a requirement for novel drug discovery and how will this impact academic efforts?

2020 ◽  
Vol 15 (9) ◽  
pp. 981-985
Author(s):  
Savíns Puertas-Martín ◽  
Antonio J. Banegas-Luna ◽  
María Paredes-Ramos ◽  
Juana L. Redondo ◽  
Pilar M. Ortigosa ◽  
...  
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Novel Drug ◽  
Performance Computing

Editorial: High Performance Computing in Drug Discovery

2016 ◽  
Vol 17 (14) ◽  
pp. 1578-1579
Author(s):  
Horacio Pérez-Sánchez ◽  
Sandra Gesing ◽  
Ivan Merelli
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
High Performance ◽  
Performance Computing

scholarly journals Applying high-performance computing in drug discovery and molecular simulation

2016 ◽  
Vol 3 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Tingting Liu ◽  
Dong Lu ◽  
Hao Zhang ◽  
Mingyue Zheng ◽  
Huaiyu Yang ◽  
...  
Keyword(s):  
Drug Discovery ◽  
High Performance Computing ◽  
Molecular Simulation ◽  
High Performance ◽  
Dynamics Simulation ◽  
Pharmaceutical Chemistry ◽  
Future Application ◽  
Chinese Government ◽  
Critical Approach ◽  
Performance Computing

Abstract In recent decades, high-performance computing (HPC) technologies and supercomputers in China have significantly advanced, resulting in remarkable achievements. Computational drug discovery and design, which is based on HPC and combines pharmaceutical chemistry and computational biology, has become a critical approach in drug research and development and is financially supported by the Chinese government. This approach has yielded a series of new algorithms in drug design, as well as new software and databases. This review mainly focuses on the application of HPC to the fields of drug discovery and molecular simulation at the Chinese Academy of Sciences, including virtual drug screening, molecular dynamics simulation, and protein folding. In addition, the potential future application of HPC in precision medicine is briefly discussed.

scholarly journals A Comparative Study: Taxonomy of High Performance Computing (HPC)

2018 ◽  
Vol 8 (5) ◽  
pp. 3386
Author(s):  
Ranjit Rajak
Keyword(s):  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Cluster Computing ◽  
Market Demand ◽  
Huge Data ◽  
Computing Grid ◽  
Software And Hardware ◽  
The Cost ◽  
Performance Computing

The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.

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