Macs in Chemistry

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4th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry


An updated program for the 4th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Meeting is now available and there is the usual excellent range of speakers. Registration is now open There are also opportunities for sponsorship.

Confirmed Speakers

Keynote: AI for molecular design, past, present and future Ola Engkvist, AstraZeneca, SE

Keynote: Challenges and opportunities for machine learning in drug discovery Patrick Walters, Relay Therapeutics, US

PyPEF – an integrated framework for data-driven protein design and engineering Mehdi Davari, Leibniz Institute of Plant Biochemistry (IPB), DE

Efficient ML strategies to explore chemical reactivity Fernanda Duarte, University of Oxford, UK

Exploring molecular space and accelerating drug discovery with MegaMolBART, a transformer-based generative model Michelle Gill, NVIDIA, US

Machine learning models for predicting human in vivo PK parameters using chemical structure and dose Olga Obrezanova, AstraZeneca, UK

Molecular transformer-aided biocatalysed synthesis planning Daniel Probst, IBM Research Europe, CH

Best practice for chemical language model de novo design of GPCR ligands: datasets, scoring functions and optimization algorithms Morgan Thomas, University of Cambridge, UK

Presentation title to be confirmed (provisional) Andrea Volkamer, Charité Universitätsmedizin Berlin, DE

‘Attending’ to co-crystals in the Cambridge Structural Datacenter Aikaterini Vriza, University of Liverpool, UK

Driving lead optimisation with BRADSHAW Ian Wall, GlaxoSmithKline, UK

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