Preprint release 😀 of "Speak to a Protein," an AI co-scientist that facilitates data gathering and analysis in an interactive collaborative session. It is quite amazing to use. Preprint: https://t.co/TqY4fJpAEV
I've been thinking about how reasoning models will change AI applied to science. The recent papers from Deepseek/AI2/MoonShotAI are showing that we can exceed humans on reasoning tasks and I've written up some reflections on the consequences.
AceForce 1.0 isn’t just for RBFE calculations—it’s also enabling advanced protein-ligand simulations using NNP/MM methodologies.
Discover how AceForce enhances accuracy and efficiency in computational drug discovery.
AceForce 1.0 is here.
Our neural network potential is designed to enhance drug discovery with quantum-level accuracy. AceForce 1.0 delivers precise predictions, reduces computational costs, and integrates seamlessly into workflows.
Discover more: https://t.co/VoBLQ3vi6H
Curious about our tools for drug discovery? Join us on Nov 6 at @ccpbiosim's Industry Talk, where we'll discuss how we use MD simulations in our QuantumBind platform. Register for free here: https://t.co/ssd7CjdvEa
Recent results from our new QuantumBind-ABFE protocol showed strong alignment with experimental outcomes in our latest RIPK2 campaign, with prediction errors of 0.6 and 1.7 kcal/mol for our two nanoMolar hits, ranking them at the top of the list.
Great news! Our new PlayMolecule drug discovery protocol identified 2 compounds with nanomolar activity (40 & 85 nM) for RIPK2 and >1000 selectivity vs RIPK1. With a 40% hit rate and a 1-week turnaround, we're pushing the limits of rapid, AI-driven discovery.
This afternoon, our CEO, @gdefabritiis , will be speaking at the @CECAMevents Flagship WS on how to enhance the accuracy of relative binding free energies via machine learning potentials
🚀 ACEGEN by Acellera Therapeutics
Our new toolkit for generative drug design that harnesses #ReinforcementLearning. Designed for robustness and efficiency, ACEGEN accelerates the discovery of desirable molecules.
Learn more 👉 https://t.co/eHKWlSJmgD #DrugDiscovery#AI#Pharma
Gianni De Fabritiis is attending the L2M3 Workshop at CECAM-HQ in Lausanne! He'll showcase as well Acellera's work on applying chemical language models for chemistry. Stay tuned for insights and updates! #LLMs#Chemistry#Acellera#Innovation @CECAM_Org @gdefabritiis
We are thrilled to announce that Professor Andrew White (@andrewwhite01), an AI-driven drug discovery pioneer, has joined Acellera Therapeutics' Advisory Board. Welcome, Andrew! https://t.co/jKnwTG1RDb
Discover how Acellera Tx is leveraging AI-driven drug discovery to deliver efficient target-to-hit insights within weeks, achieving a hit rate of over 10% across various target families with our cutting-edge technology. 📅 Book a meeting to learn more: https://t.co/Hh6dgLWfck
🚀 ACEGEN by Acellera Therapeutics
Our new toolkit for generative drug design that harnesses #ReinforcementLearning. Designed for robustness and efficiency, ACEGEN accelerates the discovery of desirable molecules.
Learn more 👉 https://t.co/eHKWlSJmgD #DrugDiscovery#AI#Pharma