I ran a poll last week asking "In which area is Artificial Intelligence likely to most impact Chemistry?" And we now have the results.

Whilst Molecular Design was the most popular choice it was interesting to see that all options were well supported. This suggests that there are opportunities for artificial intelligence to have an impact in many facets of chemistry. I'm delighted to see this since this was part of the thinking behind the AI in Chemistry meeting and I think the line up of speakers will have something for everyone.

2nd RSC-BMCS / RSC-CICAG, Artificial Intelligence in Chemistry, Monday-Tuesday, 2nd to 3rd September 2019. Fitzwilliam College, Cambridge, UK. #AIChem19

Synopsis
Artificial Intelligence is presently experiencing a renaissance in development of new methods and practical applications to ongoing challenges in Chemistry. Following the success of the inaugural “Artificial Intelligence in Chemistry” meeting in 2018, we are pleased to announce that the Biological & Medicinal Chemistry Sector (BMCS) and Chemical Information & Computer Applications Group (CICAG) of the Royal Society of Chemistry are once again organising a conference to present the current efforts in applying these new methods. The meeting will be held over two days and will combine aspects of artificial intelligence and deep machine learning methods to applications in chemistry.

Programme (draft)

Monday, 2nd September
08.30
Registration, refreshments
09.30
Deep learning applied to ligand-based de novo design: a real-life lead optimization case study
Quentin Perron, IKTOS, France
10.00
A. Turing test for molecular generators
Jacob Bush, GlaxoSmithKline, UK
10.30
Flash poster presentations
11.00
Refreshments, exhibition and posters
11.30
Presentation title to be confirmed
Keynote: Regina Barzilay, Massachusetts Institute of Technology, USA
12.30
Lunch, exhibition and posters
14.00
Artificial intelligence for predicting molecular Electrostatic Potentials (ESPs): a step towards developing ESP-guided knowledge-based scoring functions
Prakash Rathi, Astex Pharmaceuticals, UK
14.30
Molecular transformer for chemical reaction prediction and uncertainty estimation
Alpha Lee, University of Cambridge, UK
15.00
Drug discovery disrupted - quantum physics meets machine learning
Noor Shaker, GTN, UK
15.30
Refreshments, exhibition and posters
16.00
Application of AI in chemistry: where are we in drug design?
Christian Tyrchan, AstraZeneca, Sweden
16.30
Presentation title to be confirmed
Anthony Nicholls, OpenEye Scientific Software, USA
17.30 Close
18.45 Drinks reception
19.15 Conference dinner

Tuesday, 3rd September
08.30
Refreshments
09.00v Deep generative models for 3D compound design from fragment screens
Fergus Imrie, University of Oxford, UK
09.30
DeeplyTough: learning to structurally compare protein binding sites
Joshua Meyers, BenevolentAI, UK
10.00
Discovery of nanoporous materials for energy applications
Maciej Haranczyk, IMDEA Materials Institute, Spain
10.30
Refreshments, exhibition and posters
11.00
Deep learning for drug discovery
Keynote: David Koes, University of Pittsburgh, USA
12.00
Networking lunch, exhibition and posters
14.00
Presentation title to be confirmed
Olexandr Isayev, University of North Carolina at Chapel Hill, USA
14.30
Dreaming functional molecules with generative ML models
Christoph Kreisbeck, Kebotix, USA
15.00
Refreshments, exhibition and posters
15.30
Presentation title to be confirmed
Keynote: Adrian Roitberg, University of Florida, USA
16.30
Close

You can get more information and register here https://www.maggichurchouseevents.co.uk/bmcs/AI-2019.htm.