Join Ola Engkvist, Senior Director, Discovery Sciences, R&D at AstraZeneca, to learn how drug design has been impacted by #AI in the last few years, where we are now and what progress we can reasonably expect in the coming years at #GTC22.
🚨 PyKEEN 1.7.0 is out! 🚨
New: 7 models, 3 encoders, 2 trackers, keras-style training callbacks, uncertainty estimation, and more
📖 Full Release Notes: https://t.co/oaYAAix2bL
💪 Huge S/O to external contributors @dobraczka@michael_galkin@SBonner0@Ralph_Abb and others
Happy to present a new paper today at @lmrl_bio, held at @NeurIPSConf. The paper explores how topological imbalance in drug discovery knowledge graphs can affect models trained upon them and is joint work with Ufuk Kirik, Ian Barrett, Ola Engkvist and Jian Tang.
Delighted to have won the Best Partnership Alliance for our work with @AstraZeneca at the prestigious #ScripAwards.
Our teams work side-by-side to combine AI & scientific expertise to discover novel targets for #CKD & #IPF.
Learn more: https://t.co/Wz1tShzRfy @PharmaScrip
An updated version of "A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective" with I Barrett, C Ye, R Swiers, O Engkvist, @AndreasBenderUK, @cthoyt and W Hamilton has been released.
Paper: https://t.co/Nx7kmzkF5A
Repo: https://t.co/MB6D2mLYxT
New for this version is the associated github repo collecting all the relevant resources, papers and dataset links into one location. This repo will continue to be updated as new resources are released.