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Scientific computing · AI

Heat Protein Lab

The heat story told right — what heat does to the molecules that keep you alive, one real protein at a time.

2026 Google AIScientific vizGeminiStructural biology
Heat Protein Lab
17
Scientific skills wired into one AI-driven toolchain
HSF1
The heat-shock sensor at the center of the story
1
Protein at a time — depth over breadth

What it is

Heat Protein Lab is an interactive, browser-based lab for watching what heat does to proteins — denaturation, the heat-shock response, and the molecular machinery (HSF1 and friends) that cells use to survive it. You scroll down a temperature gradient, one “plate” at a time, and the molecules respond.

Open the lab → heat-protein-lab.pages.dev

Heat Protein Lab — Plate 0, 37 °C

The thing I built after the wrong thing

I didn’t build this at the Google I/O hackathon. At the hackathon I built Heat Threshold — an ambitious, multi-agent heat-safety dashboard that scheduled outdoor activity around wet-bulb risk. It worked, and it was the wrong thing: I’d answered a logistics question when the idea I actually cared about was the science — what heat does at the molecular level.

So afterward I rebuilt the heat idea from scratch, the way it should have been told the first time: not a swarm of agents, but a quiet, legible walk through one real protein.

How it works

It wires a set of small, independently-testable scientific skills — structure rendering, denaturation modelling, metrics, charting — into one coherent pipeline an AI agent can drive. Each step is traceable; the prose is held to the same standard as the code.

  • A denaturation view that animates structural unfolding as temperature climbs
  • Real structures, not cartoons — e.g. PDB 5D5U, HSF1 captured in contact with its DNA heat-shock element — with AlphaFold confidence shown honestly (pLDDT 61.31 for the flexible linker, not hidden)
  • A chart skill strict enough to catch its own design bugs

HSF1 — the real structure, with an honest confidence score

Why it matters

Same thesis as the rest of my work: one person, paired with the right agent toolchain, can build a legible, inspectable system fast — even in a domain (structural biology) that isn’t my day job. But the real lesson is the pivot — I built the wrong thing first (Heat Threshold), recognized it, and used what I learned to build the right one.

It’s the third angle on a question I keep circling — what heat does, and how to stay ahead of it — after HeatCompass (from your pocket) and Heat Threshold (from the route). This one’s from the molecule.

Want something like this, built to ship?