
Andrew Aiginin
@andrewaiginin • 2,152 subscribers
AI-ginin. All in AI 🤖 Generative Biologics product manager at @InSilicoMeds. Whatever I post here reflects my personal opinion.
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Yesterday, I built a cell model. 🧬 Today, it showed me how Ozempic works. I asked it to explain the mechanism. 1 hour later... THIS. 🤯 GPT-6 Astra is insanely powerful. 🚀 I can’t stop Derya Unutmaz, MD Greg Brockman Now I’m wondering... can it model the rentosertib mechanism? 👀
Andrew Aiginin534,832 views • 1 month ago

GPT-6 Astra is now the best-performing frontier model for antibody developability prediction in our benchmark. 🧬 Finding an antibody that binds is only the beginning. Will it aggregate? Will it stay stable? Can it actually behave like a drug? GPT-6 Astra predicts these developability properties better than the other frontier models we tested. 🤯 And yes, the interactive visualization showing how an antibody actually works was also built with Astra in about 1 hour. This model looks seriously powerful. Congrats gbt Sam Altman #insilicoSOTAFM
Andrew Aiginin314,170 views • 1 month ago

Built an app to show how Rentosertib actually works. 🧬✨ It recently showed an anti-aging effect in clinical trials. 👀 GPT-6 Astra again. The crazy part: ~40 minutes to build, plus an MD simulation 🤯 derya dn Evgeny Kirilin, this really feels like a new level of structural analysis. Rentosertib inhibits TNIK, a kinase and one of the molecular switches controlling signaling inside our cells. ⚙️ Kinase activity is also exactly the kind of property Insilico Medicine’s models are built to predict. 🤖🔬 #insilicoSOTAFM
Andrew Aiginin57,212 views • 1 month ago

The Diels–Alder reaction was discovered in 1927, and nearly 100 years later, chemists still use it to build complex molecules. 🧪 I remember being amazed at university when my professor showed me how chemical synthesis works. One of the practical tasks he gave me was to demonstrate how nucleotides could have formed under the conditions described by the Oparin–Haldane hypothesis, often referred to as the primordial soup. I struggled a lot with this task 😅 Today, I’m even more excited to see AI learning to reason about this process. Insilico trained the Liquid AI LFM, a 2.6B-parameter language model, on single-step retrosynthesis, using 45.6M verified reactions and rigorous out-of-distribution evaluation. The result: SOTA performance, outperforming dedicated chemistry tools and frontier models. #insilicoSOTAFM
Andrew Aiginin17,107 views • 1 month ago
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