SEQ · 006 AI · ANTIBODY · DATA

Notes from the
edge of biology and
machine intelligence.

Weekly field notes from inside antibody discovery and AI in pharma.
What the literature actually says, what the platforms get wrong, and what to build next.

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Weekly. Three things from the literature, one take, no fluff.

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Nanobodies From a Laptop, BCRs From a Model, and a Mutation-Agnostic Bet

Three signals this month, all pointing at the same thing: antibody discovery is becoming a computational discipline first and a wet-lab one second.

Nanobodies in silico, rabbits in wet lab, and a mutation-agnostic antibody that skips the JAK2 debate

Antibody discovery is splitting into two cultures. One trusts the model. The other trusts the rabbit. Both had a good month.

VHH Humanization Is Mostly a Search Problem, Not a Grafting Problem

Everyone frames nanobody humanization as CDR grafting. It's not. It's a search problem with a brutal fitness landscape.

Data Governance in Pharma: Notes from the Pistoia Alliance Benelux Forum #5

A speaker-by-speaker recap of the European Life Science Informatics Forum Benelux #5 at GSK Wavre: data governance, FAIR, and agentic AI in drug discovery.

Untar/Unzip Multiple Files in One Command

A quick tip showing how to untar or unzip multiple archive files in one go using find and tar.

Linking Sublime as IDE

Setting up Sublime Text 3 as a default IDE with Jekyll support and Markdown editing.

Sukhi Singh. I build data platforms for antibody discovery.

Currently at ENPICOM, working on software that moves B-cell repertoire data from sequencer to decision. Before that: bioinformatics, pipelines, ontologies, and a lot of FAIR arguments.

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