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I thought this was one of the most provocative images from the EVOLVEpro paper by Omar Abudayyeh and Jonathan Gootenberg. Supported by experimental data, they assert that a protein's fitness and its activity are lowly, or even negatively, correlated. How could this be? Shouldn't nature

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As small molecule drugs become larger, biologics become smaller, and peptide therapeutics gain adoption, how will it act as a forcing function for new representations in ML applied to molecular design? Do we default to atoms/electrons vis-a-vis neural network potentials? Does

The sweet spot is going to be bigger small molecules (macrocycles, protocs, etc) and smaller peptides (glp1, etc). Drug discovery is going to experience a renaissance here. The training data is there, the therapeutic benefit is there, and the cost/supply is there. Underhyped.

There are over 500 amino acids. Also known as non-standard, non-canonical, or even unnatural, these amino acids have diverse functions in Nature and appear to be imbuing therapies with superior physiochemical properties. Read more in my newest essay. tinyurl.com/3apurs2r

Peptide- and protein-based biologics like incretin mimetics and antibody drug conjugates constitute a massive and rapidly growing class of drugs. Unnatural Amino Acids are a burgeoning lever to engineer drug-like properties (e.g., site specific conjugation, proteolytic

Today we’re launching Chai Discovery, led by Joshua Meier & his polymathic world class cofounders. We’re also open sourcing Chai-1: a state of the art frontier model for biomolecular interactions. DIMENSION has co-led the founding round alongside Thrive & OpenAI

Since meeting Joshua Meier Jack Dent and the entire Chai team, I've been inspired by their creativity and tenacity. While I'll miss my temporary desk-mates at the DIMENSION offices, I'm ecstatic to see these folks get Chai-1 out in the open -- the first of many!

Confused by the number of open-sourced AlphaFold3 alternatives recently put out on the market? So was I - so I wrote a little thing about it! Link below 👇

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Really fantastic article demystifying how cryptic pocket search can be enabled by clever computational tricks, including “defying gravity” Simon Barnett breaks it down

I'm excited to be speaking about the business landscape behind ML in drug discovery & development at the inaugural State of AI in Drug Discovery summit hosted by Genetic Engineering & Biotechnology News on October 30th! Register Now: webinars.liebertpub.com/e/The-State-of…