Check out the numerous examples of designed small molecules and proteins, as well as the end-to-end case studies in our blog post: www.vant.ai/neo-1.
The above blog post also contains the names of all the amazing colleagues without whom all this work would have not been possible ✨
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Not only does Neo-1 achieve competitive performance with Boltz on structure prediction, it also co-generates sequences and structures for both proteins and small molecules—de novo or conditioned on partial sequences and structures—making it a powerful new tool for drug discovery 💊
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Excited to finally share what we’ve been working on for the past year at Vant AI: Neo-1, a unified model for all-atom structure prediction and generation of both proteins and other molecules! 🧬🔬
www.vant.ai/neo-1
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Assistant Professor @ École Polytechnique, IP Paris |
Interested in GNNs and Graph Representation Learning |
Website: johanneslutzeyer.com
Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
A business analyst at heart who enjoys delving into AI, ML, data engineering, data science, data analytics, and modeling. My views are my own.
You can also find me at threads: @sung.kim.mw
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻
•Masters Theoretical Physics UoM|UCLA🪐
•Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
Founder & CEO at Latent Labs
Graph Machine Learning and Graph Mining
Assistant Professor (Lecturer) in Data Science
Lancaster University Leipzig
https://pwelke.de
Post-doc at EPFL studying privacy and safety harms in data-driven systems. PhD in data privacy from Imperial College London. https://ana-mariacretu.github.io/
🧑🎓 PhD stud. @ Sapienza, Rome
🥷stealth-mode CEO
🔬prev visiting @ Cambridge | RS intern @ Amazon Search | RS intern @ Alexa.
🆓 time 🎭improv theater, 🤿scuba diving, ⛰️hiking
PhD student @cispa.de | Graph ML and Data Attribution | prev: ML intern @ amboss.tech
🌐 siantonelli.github.io
PhD Student in ML at @UniofOxford focusing on GDL. Ex-@OneCarlyle PE Investing https://kpetrovicc.github.io
🔸Reading Group🔸 Research on Temporal Graph Learning 🔸Thursdays 11am-12pm EST🔸 zoom 🔸
Organizers: @shenyanghuangtg.bsky.social;
FarimahPoursafaei; @juliagasti.bsky.social; @vstenby.bsky.social
website: shenyanghuang.github.io/rg.html
PhD student at McGill University, Mila, studying temporal graph learning and graph representation learning.
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
AI @ OpenAI, Tesla, Stanford
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com