Inside Valence
Inside Valence, Therence, Cas, Emmanuel, Jason Hartford, Yunhui Jang, Lu Zhu, Cristian Gabellini, Francesco Di Giovanni, IhabA behind-the-scenes look at the research at Valence Labs, exploring new ways to predict, explain, and ultimately decode biology.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 7 | Founded | 4 years ago | Last Issue | a month ago |
| Active | |||||
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valencelabs.substack.comLatest Issues
From Crystals to Drugs: What Drug Discovery Can Learn From Materials Science as Revealed at ICLR’s AI4Mat 2026
tl;dr: ICLR’s AI4Mat 2026 revealed that the tools built to simulate materials science are the same tools that could simulate biology. The problem is that a crystal structure has thousands of atoms whereas a realistic drug target has hundred...
Grounding Perturbation Prediction in Biological Knowledge
tl;dr: TxPert is a lightweight deep learning framework that predicts how cells respond transcriptomically to genetic perturbations, including gene combinations never seen during training. It integrates curated biological knowledge graphs as...
Virtual Cell @ ICLR: A Sea of Silos
Between April 23-27, ICLR brought the AI community to Rio, a city that only enhanced an already rich annual experience. Conferences are not only paper lists and poster sessions, they are an opportunity to get together and learn from new peo...
Towards Reasoning in Virtual Cells
tl;dr: VCR-Agent is a multi-agent system that can explain why a perturbation drives a particular cellular response, as opposed to simply describing the cellular response of a perturbation. This work falls under the “Explain” pillar of our V...
Building the Virtual Protein
tl;dr: MarS-FM is a flow-based generative model that rethinks protein simulation from the ground up, learning across biologically meaningful states rather than crawling through chronological time. Delivering a virtual cell requires first bu...
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The writers behind this newsletter.
Decoding biology to radically improve lives. Powered by Recursion.
Musing Tech x Bio
One man, many hats. From artificial intelligence, to drug discovery, to film.
AI scientist making drug discovery computable
I talk a lot about BioML. Postdoc @ Valence Labs, Recursion
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