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#computationalbiology

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Could AI reshape the future of biology? 🔬

Charlotte Bunne and Stephen Quake join Eric Topol to discuss the AI Virtual Cell—a project that could shift biology from 90% experimental to 90% computational.

This shift could accelerate discoveries, reduce lab costs, and revolutionize drug discovery, diagnostics, and personalized medicine.

🎧 Listen to the full conversation: erictopol.substack.com/p/the-h

📢 Don’t miss the deadline ⚠️ 27 February ⚠️ to submit your abstract to the [BC]2 Basel #ComputationalBiology Conference.
From #GeneExpression to #evolution or #biomedicine - we are waiting to learn more on your research projects at #bc2basel!

🔹 Scientific committee core team: Katja Bärenfaller, David Gfeller, Catherine Jutzeler, Abdullah Kahraman, and Diana Marek

👉Submit your abstract now: tinyurl.com/49w6wthj

I'm so happy to share with you the final result of two years of work with Emanuele Ratti at the intersection between #philsci and #computationalbiology, which was recently accepted in Perspectives on Science (MIT press).

In this paper we argue that computational biology is an experimental science.

(cont'd)

philsci-archive.pitt.edu/24609

philsci-archive.pitt.eduBeyond 'Trapped Pets' and 'Red Buttons': Bioinformatics as an Experimental Discipline - PhilSci-Archive

Key Points:
➡️ ESM3 is a generative language model that reasons over the sequence, structure, and function of proteins.
➡️ It can generate functional proteins far from known proteins, simulating 500 million years of evolution.
➡️ It can generate fluorescent proteins with a chain of 'thought'.
➡️ ESM3 is trained at three scales: 1.4B, 7B, and 98B parameters.

astrobiology.com/2025/01/simul

Astrobiology · Simulating 500 Million Years Of Evolution With A Language Model - AstrobiologyMore than three billion years of evolution have produced an image of biology encoded into the space of natural proteins.