From: chemistry-request at ccl.net <br />
To: chemistry-request at ccl.net<br />
Date: Mon Oct  1 05:10:11 2018<br />
Subject: 19.04.12 <span class="fancysmall">MGMS Big Ideas for Big Data in Drug Discovery, UCL, London</span><br />

<pre>We are pleased to announce the MGMS Big Ideas for Big Data in Drug Discovery meeting will take 
place on 12th April 2019, at the School of Pharmacy, UCL, London.

Conference website: <a href="https://bigdatamgms2019.wordpress.com" target="_blank">https://bigdatamgms2019.wordpress.com</a>

The aim of the conference is to discuss recent progress in managing and analyzing big data that can 
be used in the drug discovery process. By including both academic and industrial presenters, we would 
like to encourage collaboration on this emerging topic. The main topics of the meeting include artificial 
intelligence methods used in drug design, big data and biomolecular simulations, functional genomics, 
biological networks, network pharmacology, functional bioinformatics and chemical data collections. 
Please refer to our provisional schedule for more details on planned sessions and speakers. 
Both academic and industrial presenters are welcome for talks and posters.

There will be opportunities for oral and poster presentations. Contributions from students and postdoctoral 
researchers are particularly welcome. We have just started registration, and so far we confirmed 
following speakers:
* Dr Jeff Barrett, CSO &amp; Director, Genomics Plc (Oxford, UK)
* Dr Ola Engkvist, Associate Director, AstraZeneca (Gothenburg, Sweden)
* Dr Rajarshi Guha, Associate Director, Vertex Pharmaceuticals (Boston, the USA)
* Professor Aleksej Zelezniak, Chalmers University of Technology (Gothenburg, Sweden)

For more information on the MGMS and other events we organise please click here: <a href="http://www.mgms.org/" target="_blank">http://www.mgms.org/</a>

We look forward to seeing you there!</pre>
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