Structural accuracy

Area: definition. Apply the shared measurement protocol.

Estimated progress toward AI-managed biology

45% complete — judgment-based estimate as of November 7, 2026. Confidence: low. The scale starts at 0% before ChatGPT's public release in 2022 and ends at 100% when AI manages the field's continuing advancement without human participation. This rates the outcome's contribution to that transition, not the percentage of tasks solved, a measured fraction of the field, or time remaining.

The shared scoring rubric uses five equally weighted dimensions: execution, breadth, agenda-setting, validation, and sustained autonomous improvement. Points for this outcome are 15 + 10 + 5 + 10 + 5 = 45/100, in that order; each dimension has a maximum of 20. These component judgments make the estimate inspectable, but are not independently measured scores.

Reason for the estimate: Joint molecular structure prediction shows broad bounded capability and comparison against experimental structures. New-target selection and faithful prospective validation still rely on human-designed workflows. The dated baseline below supplies the findings and source links used for this assessment. Unmeasured components receive no demonstrated-progress credit; missing evidence does not prove a missing capability.

What would move the score: Evaluate subsequently released structures using fixed interface and structural metrics, stratified by molecular class and training similarity. Higher autonomy scores additionally require AI to select worthwhile work, validate results and improve the process over repeated cycles without human research management, repair or adjudication. Lower the score if replication fails, quality regresses or previously hidden human assistance is found. Preserve this dated estimate when adding future assessments.

Measurement and acceptance rule

Accuracy against subsequently released experimental structures using preregistered structural and interface metrics; split by molecular class and similarity to training data.

Evidence requirements

Freeze predictions before experiments and preserve all designed candidates, including failed ones. Use controls, biological replicates, independent assays, and a second laboratory. Record sequence and family overlap with known data. Do not count a favorable predicted structure as experimental confirmation of activity or mechanism.

Related milestones

See the area's proposed milestones. Proposed targets are distinct from the dated evidence below.

Baseline as of November 7 2026

Status: Experimental-structure benchmark available. Sources accessed November 7, 2026. This is a documentary baseline, not an independent replication or an assertion of the worldwide best result. An unknown measurement is not zero.

Dated findings

May 8, 2024: AlphaFold 3 reports improved joint prediction of protein complexes with nucleic acids, small molecules and other partners. AlphaFold 3, Nature.

Interpretation and tracking value

There is no single meaningful accuracy percentage across these molecular classes. This review does not extract a fresh preregistered post-release structural score; historical benchmark results remain distinct from that target.

Next comparable measurement

Evaluate subsequently released structures using fixed interface and structural metrics, stratified by molecular class and training similarity. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.