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[News]

Can we trust docking results?
Sept 2010

IBM Systems and Technology Group releases a white paper with eHiTS and Cell
Oct 2008

EPA's ToxCastTM project will use SimBioSys' eHiTS as docking engine
Nov, 2007

[Events]

240th ACS
Aug 22-26, 2010
Boston, MA, USA
booth #945
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Index

Our Partners

SimBioSys Inc. works with many research, hardware, and information technology partners. The following are some of our key alliances.  

For more information, please contact info@simbiosys.com

International Business Machines Corp.

 
Through partnership with IBM SimBioSys has ported it's is flagship product eHiTS, to the the multi-core Cell Broadband Engine™ (Cell/B.E.), creating the new eHiTS  Lightning application.  See more >> 

Sun Microsystems Inc.



SimBioSys, Inc. is an associate ISV partner in Sun's  Grid Compute Utility (SGCU) program. SimBioSys provides one of its flagship product eHiTS�  on Sun Solaris 10 and SGCU. See more about this partnership >>

Accelrys Software Inc.



SimBioSys has partnered with Accelrys, Inc., a  leading provider of cheminformatics software and services to make Methods in Organic Synthesis (MOS) reaction database available for uses in SimBioSys' new Route Designer retrosynthetic analysis program. See more >>

Elsevier Information Systems GmbH


SimBioSys has reached an agreement with Elsevier Information Systems GmbH, to utilize the Beilstein reaction  database in the  ARChem - synthesis design software. See more >>

Alfa Aesar



Through partnership with Alfa Aesar, A Johnson Matthey Company, a leading manufacturer, supplier and distributor of chemicals, SimBioSys sources starting materials for its ARChem synthesis design software See more >>

ChemAxon



Through partnership with ChemAxon, a leading chemical informatics software toolkit and desktop applications developer SimBioSys uses their Marvin editor as the main editor in its synthesis design software: ARChem

Ryan H Lilien's Group
Dept.of Computer Science
Univ. of Toronto



In collaboration with Prof. Ryan H.Lilien's group, at the Department of Computer Science, University of Toronto, we are tackling some of the most challenging scientific research projects of retrosynthetic planning. See Lilien's CAOSP work.



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