Pedro Penna
@pennapdr
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The objective function to channel chaos machines gracefully.
Machines of Chaos and Grace . Bittensor.
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RT @davidkmyang: Biopharma's unfortunate challenge is that even the grand vision of treating all diseases is simply not compelling enough f….
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incentivizing biological diversity is as important as chemical diversity in drug development.
one frustrating aspect of drug development is that the incentives favor “me-too” programs that chase already-validated targets (e.g., TYK2, GLP-1, PD-(L)1). this is in large part due to the fact that patents protect molecules, not the biology behind them. once a target shows.
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RT @HungNgu76442123: @ycombinator just revealed their Request for Startups.Here’s what YC is ACTUALLY looking to fund right now — decoded:….
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RT @drughunter_com: New Drugs on the Horizon from #AACR2025!. 12 clinical molecules, 12 fresh stories from the frontlines of drug discovery….
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RT @reymondgroup: 🎊Check out our latest publication "Exploring Simple Drug Scaffolds from the Generated Database Chemical Space Reveals a C….
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RT @NTFabiano: Why do living organisms need sleep?. A new theory suggests that myelin acts as a proton capacitor, accumulating energy durin….
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RT @marinkazitnik: Thrilled to see FDA take this step: Phasing out animal testing requirements and embracing AI-based models and human orga….
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Beautiful validation on why active learning is a winner when talking about exploring giant chemical spaces in drug development. The learning process that goes from "random" to "relevant" subsets really thrives in the "highly structured data" world of in silico predictions.
Happy to finally share our latest paper on active deep learning in low-data drug discovery in @NatComputSci! . We tried to answer some open questions to get ready for prospective application 🧵👇. #AI #chemistry #drugdiscovery.@fra_grisoni @molecularML.
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RT @SchmidhuberAI: DeepSeek [1] uses elements of the 2015 reinforcement learning prompt engineer [2] and its 2018 refinement [3] which coll….
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RT @MaxPerutzLabs: 🚨 Out now! @marcoyannic and his former colleagues at the @czbiohub, San Francisco, have unveiled a new study in @CellCel….
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RT @liambai21: Can also be used to model the evolutionary conservation of proteins. This idea pioneered by @deboramarks is the foundation….
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RT @dr_alphalyrae: The future of machine learning for small-molecule drug discovery will be driven by data | Nature Computational Science h….
nature.com
Nature Computational Science - The application of machine learning techniques to small-molecule drug discovery has not yet yielded a true leap forward in the field. This Perspective discusses how a...
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RT @zenbrainest: New perspective on 'Molecular Glues' as biased ligands for GPCRs:.We propose that 'molecular glues….
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Amazing work on the structural regions that are key for the proton-sensing function of GPR4, GPR65, and GPR68.
biorxiv.org
Three proton-sensing G protein-coupled receptors (GPCRs), GPR4, GPR65, and GPR68, respond to changes in extracellular pH to regulate diverse physiology and are implicated in a wide range of diseases....
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