High-Dimensional Pharmacology from an AI/ML Perspective
Vladimir ChupakhinIt's my personal blog about high-dimensional pharmacology from AI/ML point of view. Mostly focusing around computational drug discovery with emphasis on complexity part and tech that can help to resolve it.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
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| Issues | 28 | Founded | 3 years ago | Last Issue | 3 months ago |
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hdpharm.substack.comLatest Issues
Reviewing papers in the age of AI
I review 2–3 papers a month, and over the last six months there’s been a clear shift in the quality of what’s being submitted.
Citations are the tell. The clearest signal that a manuscript was drafted by an LLM is broken citations. They ca...
Scientific Agentic AI graveyard: Kepler.ai
The pivot of the Kepler team to Coral, Inc. serves as a sobering "canary in the coal mine" for those of us building specialized AI tools for drug discovery and scientific research. While we often emphasize the necessity of domain-specific g...
Compound similarity search in your browser
Introduction
That’s basically extract from my LinkedIN newsletter. While exploring chemistry and pharmacology behind bretisilocin I found a need to create a zero installation fast and easy similarity search for a given chemical library...
Archive: Paper comment: "MELLODDY: cross pharma federated learning at unprecedented scale unlocks benefits in QSAR without compromising proprietary information"
NB! Moving some of the old posts for better visibility.
Intro
I finally got my hand on carefully reading papers by the MELLODDY consortium led by my ex-supervisor (and fantastic visionary) - Hugo Ceulemans. I participated in some very...
Archive: Comment: "A proteome-wide atlas of drug mechanism of action"
NB! Moving some of the old posts for better visibility.
Proteomics is an invaluable tool for unlocking the secrets of compound polypharmacology: by quantifying the protein expression changes caused by different compounds, researchers can g...
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Authors
The writers behind this newsletter.
AI+Systems thinking for drug design and development. AI safety is a sidetrack.
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