LLMs are strong at reasoning over unstructured text. But in biology, that reasoning is hard to verify. In our new preprint, we propose a framework for generating structured, falsifiable biological hypotheses from perturbation data. arxiv.org/abs/2604.11661

To realize our vision of better and more effective drug discovery, we must turn predictions into testable hypotheses and experimental designs. Dive into the Explain pillar of our Virtual Cell framework: why it matters and how we adapt LLM reasoning to biology. open.substack.com/pub/valencel...

Attending @iclr-conf.bsky.social in Rio? Interested in AI for drug discovery? We’d love to meet you. Valence Labs x LMRL Workshop are hosting a TechBio social event on April 26th. Rooftop bar, waterfront views, and engaging conversation. Register here: luma.com/9pyf9k90

Traditional MD requires long simulations in which interesting events are dominated by irrelevant dynamics. MarS-FM is our generative model that rethinks protein simulation by learning the transitions between biological states, achieving a 600x speedup. open.substack.com/pub/valencel...

We're excited to announce that MarS-FM has been accepted at ICLR! We propose a new class of generative models that learn to sample state transitions of biomolecular systems, reproducing the statistics of Molecular Dynamics (MD) with drastic speedups. arxiv.org/abs/2509.24779

1/ Valence Labs is bringing together next generation of Montréal researchers and innovators in Bio-AI. We are hosting a Bio-AI Show & Tell — a quick and fun showcase of ideas, demos and projects in ML. RSVP here: luma.com/n47bshdx

1/ Valence Labs, @recursionpharma.bsky.social's AI research engine, is at ICML this week! Two of our scientists, @jhartford.bsky.social and Ihab Bendidi are presenting posters on work featured in their papers 👇🧵

1/ We are excited to open-source the SynFlowNet-Boltz-2 trainer today! 🧵

Recursion@recursionpharma.bsky.social · last yr.

🚀 Accelerating Boltz-2 for more efficient structure-based hit discovery. Today, Recursion is open-sourcing its SynFlowNet-Boltz trainer to enable more efficient design of high-affinity binders needed for successful early-stage drug discovery. Learn more: www.recursion.com/news/beyond-... #TechBio 🧪

Pleased to have hosted the 2025 Molecular Machine Learning Conference last week at @mila-quebec.bsky.social Thank you to everyone who joined us and shared their valuable insights! We hope to see you all again soon.

Recursion@recursionpharma.bsky.social · last yr.

We had a great turnout for #MoML 2025. Sponsored by Recursion & @valenceai.bsky.social, MoML convenes researchers from academia & industry to discuss how ML can address key scientific goals related to molecular modeling, molecular interactions & therapeutic design. 👉https://portal.ml4dd.com/ 🧪

Looking forward to seeing everyone at MoML this Wednesday, June 18th, at @mila-quebec.bsky.social in Montréal. We anticipate a day of engaging discussions, talks and poster presentations, exploring research at the intersection of machine learning and drug discovery. Agenda Here: portal.ml4dd.com

Proud to share @recursionpharma.bsky.social's exciting announcement on Boltz-2! Valence Labs, Recursion’s AI research engine, contributed to the foundational research supporting the @mit.edu team led by Regina Barzilay. Learn more about Boltz-2 here: www.rxrx.ai/boltz-2

Recursion@recursionpharma.bsky.social · last yr.

More on Boltz-2, the new open source AI model from MIT & Recursion capable of predicting protein binding affinity w/ unprecedented speed, scale & accuracy -- the 1st model to combine structure & binding affinity prediction, approaching FEP accuracy w/ 1000X the speed. www.youtube.com/watch?v=gRtr...

1/ We're excited to announce our speaker lineup for MoML 2025! Join us on June 18th, 2025, at Mila in Montreal for a day focused on the intersection of machine learning and drug discovery. 🧵

A new perspective paper from Recursion and our AI research engine @valenceai.bsky.social lays out our vision for a virtual cell as a system that can reliably drive the discovery of new drugs via an iterative loop of: predict, explain, discover. arxiv.org/abs/2505.14613 #TechBio 🧪

1/ Introducing TxPert: a new model that predicts transcriptional responses across diverse biological contexts It’s designed to generalize across unseen single-gene perturbations, novel combinations of gene perturbations, and even new cell types 🧵 www.valencelabs.com/txpert-predi...

TxPert: Predicting Cellular Responses to Unseen Genetic Perturbations - Valence Labs

We introduce TxPert: a state-of-the-art model that leverages multiple biological knowledge networks to accurately predict transcriptional responses under OOD scenarios.

valencelabs.com

1/ At Valence Labs, @recursionpharma.bsky.social's AI research engine, we’re focused on advancing drug discovery outcomes through cutting-edge computational methods Today, we're excited to share our vision for building virtual cells, guided by the predict-explain-discover framework 🧵

(1/3)The poster submission deadline for MoML 2025 has been extended to May 20th, 2025. Don’t miss an opportunity to share your work at this years conference. Submit here: portal.ml4dd.com/moml-2025-po...

(1/3) Speaker Spotlight: Gabriele Corso We’re excited to welcome @gcorso.bsky.social to MoML 2025 on June 18th — hosted @mila-quebec.bsky.social. Gabriele is a PhD student at @mit.edu @csail.mit.edu developing ML methods for structural biology and drug discovery.

(1/3) Speaker Spotlight: Dr. Smita Krishnaswamy We’re thrilled to welcome Dr. Smita Krishnaswamy to MoML 2025 on June 18th - hosted @mila-quebec.bsky.social Dr. Krishnaswamy is an Associate Professor of Genetics & Computer Science at @yaleschoolofmed.bsky.social

(1/7) The team at Valence Labs—powered by @recursionpharma.bsky.social will be at @iclr-conf.bsky.social in Singapore this week, where we’ll be co-hosting a TechBio social on Friday, April 25th. Join us at the top of the Marina Bay Sands. RSVP: lu.ma/nts2d8uj See below for a summary of our papers👇

(1/5) The Molecular Machine Learning Conference (MoML) is back @mila-quebec.bsky.social this June 18th. Join researchers advancing machine learning, molecular modeling, and therapeutic design. Tickets are free for students. Register Today: portal.ml4dd.com/events/molec...

Advancing our vision for a virtual cell: In a presentation at #JPM2025, CEO Chris Gibson shared his vision for #TechBio, in which biol & chem datasets & highly predictive ML models, including advanced protein folding, will allow us to build a true virtual cell. ir.recursion.com/static-files...

The Valence team was proud to share our research at NeurIPS last week. We had 14 papers across the main conference and workshops. At the Foundation Models for Science workshop, Valence and @recursionpharma.bsky.social researchers won first, second, and third place 🧵

Valence scientist Michael Craig will serve as the Senior Chair for the Drug Discovery and Development roundtable at the ML4H conference today. This session will focus on the role of LLMs and foundation models in accelerating drug discovery. Learn more: ahli.cc/ml4h/researc...

Thank you to everyone who attended our event at #NeurIPS2024 with @RecursionPharma and @nvidia earlier this week. We're presenting multiple posters at the workshops today. Talk to us and learn more about our open roles. We're hiring: www.valencelabs.com/careers Workshop schedule👇

Generative models often create molecules that are hard to synthesize. Tomorrow, we present SynFlowNet, a GFlowNet designed to generate synthesizable molecules using documented reactions and purchasable materials. Learn more at the MLSB workshop: arxiv.org/abs/2405.01155

🧵 At NeurIPS last year, we introduced Sequential Attachment-based Fragment Embeddings (SAFE), a novel line notation for chemical structures that reimagines SMILES strings as an unordered sequence of interconnected fragment blocks. youtu.be/oJsj5vWmD3c

Introducing SAFE: A New Framework for Molecular Design

YouTube video by Valence Labs

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Valence Labs@valenceai.bsky.social · 2y ago

“SAFE setup for generative molecular design” Where: AI4Mat workshop in West Meeting Room 211-214 When: Dec 14th at 8:15 AM PST arxiv.org/abs/2410.20232 A follow-up from our work last year: youtu.be/oJsj5vWmD3c

Missed the event yesterday? Our team is still at NeurIPS today and throughout the workshops. Come talk to us and learn more about open roles. We’re hiring for both full-time and internship positions: www.valencelabs.com/careers

Tonight is our TechBio social with @recursionpharma.bsky.social and NVIDIA. Meet fellow scientists, engineers, and founders working at the intersection of ML and drug discovery at Science World. Space is limited. Join the waitlist: lu.ma/biikt7ox

Multimodal techniques rely on paired samples to learn common representations, but these samples are hard to collect in biology where measurement devices often destroy samples. How do we enable a multimodal future in TechBio? Learn more today at NeurIPS. youtu.be/7a29mGz9LXI

Propensity Score Alignment of Unpaired Multimodal Data

YouTube video by Valence Labs

youtu.be

Valence Labs@valenceai.bsky.social · 2y ago

“Propensity Score Alignment of Unpaired Multimodal Data” Where: East Exhibit Hall A-C #1000 When: Dec 12th from 11 - 2 PM PST neurips.cc/virtual/2024... youtu.be/7a29mGz9LXI

MolPhenix is a foundation model that can predict the effect of any given molecule and concentration pair on phenotypic cell assays and cell morphology. We'll be presenting this work at NeurIPS next week. Come chat with us! Paper: arxiv.org/pdf/2409.08302

Valence Labs@valenceai.bsky.social · 2y ago

“How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval” Where: East Exhibit Hall A-C #1110 When: Dec 11th from 11 - 2 PM PST portal.valencelabs.com/blogs/post/m... neurips.cc/virtual/2024...