Uses inference-time compute scaling to improve structure hypotheses in Atlas structure workflows.

ESMFold2 and Test-Time Compute

ESMFold2 is presented in repo-local content as part of the June 2026 ESMC/ESMFold2 world-model preprint. The practical point for Atlas is test-time compute: spend more inference budget when structural uncertainty is expensive.

What It Does

ESMFold2 with test-time compute supports:

• Predicting 3D structure hypotheses from amino acid sequence.
• Increasing inference effort for harder or higher-value sequences.
• Trading latency for richer structure candidates.
• Adding structural context to Atlas analyses and design review.

Why It Matters

Sequence-first workflows can over-trust a single low-budget fold. Test-time compute reframes structure prediction as a budgeted process: fast settings for routine candidates, deeper settings for borderline or high-risk candidates.

That matters when a downstream decision depends on structural confidence, such as whether to synthesize a design, compare variants, or inspect a predicted interaction.

Intended Use

Use ESMFold2 in Atlas when structure is a decision-support signal:

• First-pass structure checks at lower compute.
• Higher-compute reruns for shortlisted sequences.
• Structural comparison among design rounds before expensive downstream work.

Limitations

Predicted structures are hypotheses. They do not replace crystallography, cryo-EM, NMR, or other experimental techniques. Increasing test-time compute can improve output quality but raises latency and cost, and some biology remains difficult: complexes, large conformational transitions, cofactors, membranes, and disordered regions can still be underrepresented.