Solutions > Applications > Life Sciences - Computational Chemistry
Computational chemistry is part of a disciplinary approach to predict the nature and function of new chemical compounds. By creating new molecular structures, scientists can create new products and improve existing products cost effectively. This has a profound impact on the development and enhancement of products in various industries, including pharmaceuticals, plastics, glass, metal and paint, as well as manufacturing processes in aerospace, automotive and other sectors.
Solutions based on vSMP Foundation are ideal for these environments. The shared memory architecture can run all these applications with good performance, sometimes leveraging the large compute, memory, or bandwidth configurations or a combination of each.
vSMP Foundation solutions provides high performance coupled with lower management costs. They are particularly well suited in environments where computational chemists do not have dedicated IT staff or need to publish results fast for new, innovative applications.
Popular Applications include:
- Gaussian
- VASP
- AMBER
- Schrödinger Jaguar
- Schrödinger Glide
- NAMD
- DOCK
- GAMESS
- GOLD
- mpiBLAST
- GROMACS
- MOLPRO
- OpenEye FRED
- OpenEYE OMEGA
- SCM ADF
- HMMER