Simbiosys

Not to be confused with Symbiosis.
SimBioSys
Subsidiary
Industry Life Sciences
Founded 2001
Headquarters Toronto, ON, Canada, Toronto, Ontario, Canada
Key people
Zsolt Zsoldos, Chief Technology Officer
Parent John Wiley & Sons
Website www.simbiosys.com

SimBioSys (short for Simulated Biomolecular Systems) is a Toronto-based chemistry software company focusing on structure based drug discovery and retrosynthetic analysis tools. It has established a strong reputation as one of the leading developers of flexible docking applications, virtual screening methods and computer aided organic synthesis design.

In 2014, SimBioSys was acquired by John Wiley & Sons.[1]

Areas of Expertise

Founded by a group of computer scientists and chemists, SimBioSys combines sophisticated search algorithms, machine learning techniques and informatics approaches with chemical knowledge and modelling.

Products

Partnerships

SimBioSys maintains marketing partnership with KeyModule. It distributes the UK based company's lead design tool, SPROUT, as well as other products.

See also

References

  1. Collins, Allison. "John Wiley Continues Deal Spree, Buys SimBioSys". Mergers & Acquisitions, Latest News. Retrieved 2014-09-06.
  2. Zsoldos, Zsolt; et al. (July 2007). "eHiTS: A new fast, exhaustive flexible ligand docking system". Journal of Molecular Graphics and Modelling. 26 (1): 198–212. doi:10.1016/j.jmgm.2006.06.002. PMID 16860582.
  3. Englebienne, Pablo; Moitessier, Nicolas (June 2009). "Docking Ligands into Flexible and Solvated Macromolecules. 4. Are Popular Scoring Functions Accurate for this Class of Proteins?". Journal of Chemical Information and Modelling. 49: 1568–1580. doi:10.1021/ci8004308. PMID 19445499.
  4. Reid, Darryl; et al. "LASSO - ligand activity by surface similarity order: a new tool for ligand based virtual screening". Journal of Computer-Aided Molecular Design. 22: 479–487. doi:10.1007/s10822-007-9164-5.
  5. James. "Route Designer: A Retrosynthetic Analysis Tool Utilizing Automated Retrosynthetic Rule Generation". Journal of Chemical Information and Modelling. 49: 593–602. doi:10.1021/ci800228y.
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