Finding the one protein, chemical, or genome that behaves or responds in the way the scientist is looking for is the key to the discovery process. For decades, HPC systems have accelerated this process, often by helping to identify and eliminate in feasible targets sooner. That is, it’s easier to find needles in haystacks if you can eliminate the hay. A new white paper that focuses on the breadth of HPC life sciences is available from the insideHPC White Paper Library: “Searching and Researching: DDN Solutions for Life Sciences” written by Intersect360 Research and sponsored by Data Direct Networks.
Bio and life sciences is the third-largest commercial vertical market segment for the use of HPC, including “bio-medical research and development organizations in such areas as: pharmaceuticals, medical research, agriculture, environmental engineering, etc.” A great deal of additional usage of HPC for life sciences occurs at public-sector (academic and government) research labs, or even in other industries, such as an oil company pursuing research in bio fuels. The applications and types of users in this segment are therefore quite broad, ranging from independent commercial labs to multinational pharmaceutical companies. Common applications in bio-sciences include the following:
- Chemistry, including bio-chemistry, molecular modeling, and protein folding
- Bio-engineering, including agricultural engineering
- Genomics and proteomics
- Biology, including molecular biology
- Pharmacology, including pharmacokinetic/pharmacodynamic (PK/PD) modeling
- Analytics, including statistical analysis and bioinformatics
Learn how you can speed up your life sciences research. Click HERE to download the whitepaper.