We already have some exciting speakers lined up for the 7th @RSC_CICAG / @RSC_BMCS Artificial Intelligence in Chemistry Symposium this September 16-18, 2024, including:
• John Jumper, Google DeepMind, UK
• Heather Kulik, MIT, USA
…
https://t.co/C39j4RdhjU
#AIChem24
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"it's just a tool though, isn't it?"
"no it's not, no - it's an alien life form"
David Bowie's insights on the internet from 1999 sound exactly like he's talking about AI today
Congratulations to @isakvals on winning the prestigious People’s Poster Prize at the RSC’s 7th "AI in Chemistry" symposium!
🔎Ísak’s research is on developing the AEV-PLIG method within @gmm's group
🔗: https://t.co/vTnJAqIuRc
#AIChem24
Posebusters, work by Martin @Buttenschoen, Garrett Morris (@gmm) & Charlotte Deane that identifies physically implausible molecular binding predictions, was featured by @nathanbenaich and @airstreet Capital in this year's State of AI Report.
Full report: https://t.co/FwhzkIT92b
Congratulations to @isakvals on winning the RSC’s 7th AI in Chemistry People’s Poster Prize today! :-)
Very proud of Ísak and his hard work developing AEV-PLIG in my group: https://t.co/KqpVFsg3vg
Great collab w/ @philbiggin@matthewthwarren & @aniket_magarkar#AIChem24#AI
@arun_raja007 Finally, Yael Ziv gave a talk on her recent work MolSnapper, which demonstrates how diffusion models can be effectively conditioned for structure-based drug design.
Check out the preprint here:

https://t.co/QXqOLx9dQ6
Finally, @arun_raja007 has explored the effectiveness of quantum chemistry pre-training GNNs for pharmacological property prediction https://t.co/imEbO9SEG1
@LucyVost tells us how we can improve chemical plausibility in 3D molecule generation via conditional training with distorted molecules (preprint coming soon!)
First the posters! @isakvals is presenting his recent work on AEV-PLIG, a machine learning scoring function for binding affinity prediction https://t.co/7E81j7BTpc
OPIGlets are out in force at #AIChem24, organised by our very own @gmm DPhil students @LucyVost, @arun_raja007 and @isakvals are presenting posters, and Yael is giving a talk about her recent work MolSnapper on Wednesday! Please come and chat to them!
We also have RSC bursaries for students and unwaged attendees.
Thank you to our early sponsors, @AstraZeneca, and exhibitors, @BioAscent. If you're interested in sponsoring or exhibiting or want to learn more:
https://t.co/C39j4RdhjU
#AIChem24
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We already have some exciting speakers lined up for the 7th @RSC_CICAG / @RSC_BMCS Artificial Intelligence in Chemistry Symposium this September 16-18, 2024, including:
• John Jumper, Google DeepMind, UK
• Heather Kulik, MIT, USA
…
https://t.co/C39j4RdhjU
#AIChem24
1/n
Registration is now open: https://t.co/C39j4RdhjU
You can also submit your abstracts for oral presentations and/or flash talks and poster presentations; deadlines:
• Oral: Midnight (BST), Friday, 12 April 2024;
• Posters: Midnight (BST), Friday, 3 May, 2024.
#AIChem24
5/n
We're delighted to be hosting @dr_greg_landrum on Mon Nov 20th at Comp Chem Kitchen CCK-20 — 5 pm GMT in @OxfordStats 24-29 St Giles', OX1 3LB; register for Zoom. Refreshments at 4:30 pm. https://t.co/tcOmfBkCph @CompChemKitchen@philbiggin @coopallographer @fjduarteg@bobbypaton
We are excited - and proud - report that, over the last 9 months, BDB curated and shared103K open-access, machine-readable protein-ligand binding data, melding it with the 74K new binding data curated by ChEMBL, for a total 177K increase in our holdings.
Talk: "John Mayfield: Managing and Searching One Trillion Compounds" presented at UCSF DOCK Meeting. #cheminformatics#Arthor#SmallWorld
https://t.co/kEH64OluMq