Model Scale vs. Performance curves for ESM C models, with comparisons to ESM2 and other protein LMs. ESMC performs better than existing state of the art for the same model parameter scale.
Introducing ESM Cambrian, a new family of protein language models, focused on creating representations of the underlying biology of proteins.
04.12.2024 17:45 โ ๐ 50 ๐ 16 ๐ฌ 1 ๐ 2
Many thanks to the organizers of this yearโs NeurIPS MLSB workshop for a really nice event! @roshanrao.bsky.social @hkws.bsky.social @gcorso.bsky.social @ginaelnesr.bsky.social @sokrypton.org and Ellen Zhong (is she on here?) Hopefully see you all next year
17.12.2023 13:39 โ ๐ 15 ๐ 2 ๐ฌ 0 ๐ 0
Now @ MLSB: Rhiju Das
World-wide competitions and the RNA folding problem
15.12.2023 20:54 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Next @ MLSB: DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
Michael Plainer โข Marcella Toth โข Simon Dobers โข @hannes-stark.bsky.social โข @gcorso.bsky.social โขย Cรฉline Marquet โข Regina Barzilay
www.mlsb.io/papers_2023/...
15.12.2023 20:22 โ ๐ 8 ๐ 1 ๐ฌ 0 ๐ 0
Now: Jason Yim / Brian Trippe
De novo design of protein structure and function with RFdiffusion
15.12.2023 19:38 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Now: Gevorg Grigoryan
Illuminating protein space with a programmable generative model
15.12.2023 18:47 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Now @ MLSB: Polly Fordyce
Leveraging microfluidics for high-throughput and quantitative biochemistry and biophysics
15.12.2023 17:02 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Next up @ MLSB - Contributed Talk DSMBind: an unsupervised generative modeling framework for binding energy prediction
Wengong Jin ยท Caroline Uhler ยท Nir Hacohen
www.mlsb.io/papers_2023/...
15.12.2023 16:48 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Next up @ MLSB - Contributed Talk: AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing ยท Bonnie Berger ยท Tommi Jaakkola
www.mlsb.io/papers_2023/...
15.12.2023 16:26 โ ๐ 4 ๐ 1 ๐ฌ 0 ๐ 0
Now: Bridget Carragher
A CryoET Data Portal to Foster a Collaboration between the Machine Learning and CryoET Communities
15.12.2023 16:07 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Now: Tanja Kortemme
Accurate and tunable de novo protein shapes for new functions
15.12.2023 15:22 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Next up - Contributed Talk: Validation of de novo designed water-soluble and membrane proteins by in silico folding and melting
Alvaro Martin ยท Carolin Berner ยท Sergey Ovchinnikov (@sokrypton.org) ยท Anastassia Vorobieva
www.biorxiv.org/content/10.1...
15.12.2023 15:11 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
MLSB has started! Join us for an exciting day of invited talks, posters, and a panel with our invited speakers on the future of MLSB!
Speaking now - Kyunghyun Cho ๐คฉ. Health system scale language models for clinical and operational decision making.
Room: 208-210.
15.12.2023 14:50 โ ๐ 4 ๐ 1 ๐ฌ 0 ๐ 0
๐ Dual major in Computer Science & Biological Sciences @Seoul National University
๐งฌ Research intern @SteineggerLab https://github.com/steineggerlab
๐ Developer of Metabuli App and TaxoView
Scientist and Group Leader of the Simons Machine Learning Center
@SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
Assistant Professor of Bioengineering, Berkeley. Living in an RNA world. lareaulab.org
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
PhD student at University of Cambridge. Intern at FAIR, Meta & Prescient Design, Genentech. Deep Learning for Biomolecule Design.
https://chaitjo.com
Prof of AI at QUT, Australia
Interest in Machine learning applied to health.
#selfsupervision #machinelearning #unsupervisedlearning #VAE #autoencoder
Former engineer โข Ph.D. student in Biology interested in structural evolution of plant resistance proteins, pathogen effectors, and the generative design of proteins โข co-advised by https://bergelsonlab.org and https://huanglab.rbind.io โข Art enthusiast
AI in Bio & Health & Therapeutic Development
Bio: https://linktr.ee/mnarayan
Substack: https://blog.neurostats.org
Peek into my brain: notes.manjarinarayan.org
Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS
๐งช๐งฎโ๏ธ๐งฌ๐ง ๐ฅ๐ค๐โ๏ธ๐ฉบ๐ฉโ๐๐
Research lab at Princeton University led by @adjiboussodieng.bsky.social. We work at the intersection of artificial intelligence (AI) and the natural sciences. Visit https://vertaix.princeton.edu to learn more. #AI4Science
Co-founder of briefly.bio ยท Making lab documentation feel good ยท
Previously, researcher in adaptive immunity and protein evolution.
Director at ZS Associates and ex-PI of https://jensenlab.org. AI, network biology, omics, and text mining. 100+ videos on https://youtube.com/larsjuhljensen.
Thanks for coming to โFoundation Models for Biological Discoveriesโ (FMs4Bio) @ AAAI 2025!
Machine Learning Scientist @ Imprint labs decoding the adaptive immune system, see http://giulioisac.github.io
Father, husband, human, founding fellow @recursionpharma, scientific director @valencelabs, adjunct professor & senior fellow @UUtah
Scientist, teacher, mentor, mom. Definitely not the gov of IA. Interested in systems biology, molecular evolution, bacterial genomes, protein engineering, and synth bio.
grad student at mit studying dynamics of (directed) evolution and protein biology with assistance from liquid handling robots.