Structure prediction agent: an agent picks the best protein folding model and learns over time
nlarusstone · x · 2026-11-12
Day 24 of the author's "an agent a day" series: a structure prediction agent. The idea: every protein (including antibodies) should have a predicted structure, but structure prediction models are numerous with different quirks — so let an agent do the selection and comparison.
- Full sample prompt provided: triggered on each new amino acid sequence, the agent decides which prediction model will likely perform best, running multiple models when unsure
- It deliberately runs several models early on to learn which ones work well on your sequences, getting smarter over time
- A reproducible AI-for-Science agent workflow
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