13th LCDS meeting: Data-Driven Drug Discovery
- 10 June 2016
Niels Bohrweg 1
2333 CA Leiden
Large amounts of pharmaceutical data have become publically available over the last few years. The Data-Driven Drug Discovery Network (D4N) aims to make proper use of these data sets, by applying and developing novel techniques from the field of data science. The network, which is embedded in the Leiden Centre of Data Science, combines expertise in computer science, statistics and medicinal chemistry.
During this meeting, the Data-Driven Drug Discovery Network will be introduced.
14.00 – 14.10 Welcome by Jacqueline Meulman (Leiden Centre of Data Science)
14:10 – 14:15 Welcome by Michael Emmerich & Gerard van Westen (Leiden University)
14.15 – 14.45 Andreas Bender (Cambridge University) - Data in Drug Discovery - Case Studies and Practical Considerations
14.45 – 15.05 Iryna Yevseyeva (De Montfort University) - Multiobjective Portfolio Optimization for Drug Discovery Using Deterministic and Stochastic Methods
15.05 – 15.15 Boris Naujoks (TH Cologne) - Drugs for the aging society - the InnovAGe program
15.15 – 15.30 Coffee
15.30 – 15.50 Shardul Paricharak (Leiden University, LACDR) - Analysis of iterative screening with stepwise compound selection based on Novartis in-house HTS data
15.50 – 16.10 Vivi Rottschäfer (Leiden University, Mathematics) - A mathematical model for drug transport
16.10 – 16.30 Walter Kosters (Leiden University, LIACS) - How to apply Data Mining algorithms to biology and chemistry
16.30 – 17.00 Discussion / Round table – Speakers invited
17.00 Drinks (FooBar)
If you would like to attend this meeting, please register here. For more information about this event, please contact Gerard van Westen (firstname.lastname@example.org) or Michael Emmerich (email@example.com).