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  Events - September 2014


Drug Discovery India 2014

11 Sep 2014 - 12 Sep 2014 - Mumbai, India



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After the highly successful and informative conference Drug Discovery India 2013, this will be the 2nd Annual International Conference and Exhibition focusing on Open Source Drug Discovery (OSDD), Medicinal Chemistry, Natural Products Chemistry, Chemical Biology, Molecular Modeling, Novel Approaches, Techniques and Technologies for Drug Design and Discovery. Use of Interdisciplinary Approaches for optimizing the discovery and development of new molecular entities, collaborative research amongst interdisciplinary academic/research centers, government agencies and pharmaceutical industry will also be on agenda. The event will run as two parallel tracks on two days. The conference will be co-located with Drug Metabolism & Discovery ADMET and Indian Lab Automation meetings. Registered delegates will have unrestricted access to all co-located meetings ensuring a comprehensive learning and sharing experience as well as being financially beneficial for attendees. Further, the oral & poster presentations at the conference will be published as full papers in the form of conference proceedings as special online issue of Current Research in Drug Discovery (ISSN 2333-3243).



Further information
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Supercomputing and Drug Discovery
New biotech company uses supercomputer simulations to speed up drug discovery and biotech molecule development.
Identifying Cancer Drug Targets Using 3D-Modelling
Researchers are now able to model genetic mutations manipulation of proteins that can potentially drive cancer.
Human Evolution Driven by Viruses
Study finds surprising percentage of protein adaptions in humans have been driven by viruses.
Earliest Sign of Alzheimer's Development Discovered
Researchers have identified the first physiological signs of late-onset Alzheimer's disease, underlining the importance of computational power in neurology.
Computational Method Offers Significant Boost in Finding New Cancer Targets
MIT and ARIAD Pharmaceuticals team have identified evidence of significant cancer mutations.
Drug Response Predicted by Cancer Cell Lines
Large-scale study could increase success rate of developing personalised cancer treatments.
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