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BIOLOGICAL MODEL EVIDENCE · PART OF BAYES PHARMA

Know what a biological AI model can—and cannot—support.

Find the exact version, inspect its evidence and limitations, compare context fit and preserve a reproducible evaluation record—without confusing availability with therapeutic validity.

Ask BioAtlasModels · evidence · benchmarks · verification · research
82 scientific entitiesExact-version evidenceNo universal readiness score
EVIDENCE IS NOT A LEADERBOARD

BayesBioAtlas asks not only “what did the model predict?” but “can we reproduce it, where can it fail, and should it change the decision?”

No fabricated universal score. Suitability depends on scientific task, evidence context, exact version, biological representation, calibration, failure boundaries, deployment constraints and context of use.

NEW · RETROSYNTHESIS MODEL INTELLIGENCE

2024 → 2026: from predicting one reaction to comparing competing chemical hypotheses.

Retrosynthesis is moving beyond one architecture and one Top-1 answer. BioAtlas now maps the historical specialists and the newer ensemble, flow and chemistry-LLM systems—while keeping benchmark context and limitations visible.

2024 · SPECIALIST ERA

Strong sequence, template, graph and planning systems.

The core question was often which model best reproduced the recorded reaction under a benchmark protocol.

Molecular TransformerLocalRetroGraph2EditsNAG2GRetro*AiZynthFinder
2025–2026 · CONVERGENCE ERA

Diversity, reasoning and complementary inductive biases.

The emerging question is what survives when different model families propose—and challenge—different chemistry.

RetroChimeraRetro SynFlowRetroDFM-RC3LMInsilico SSRS
Top-1 accuracy ≠ synthesis success.Single-step exact match does not measure full-route feasibility, cost, safety, selectivity, scalability or precursor availability.
One system, three modes

Discover. Evaluate. Govern.

Start from a biological task or a known model. BayesBioAtlas keeps context, exact versions and evidence boundaries visible through computational evaluation and handoff.

01

Discover

Find models, exact versions and evidence by biological task—not by leaderboard position.

Find models →
02

Evaluate

Compare context fit, reproduce claims, expose contradiction and identify where evidence stops.

Compare models →
03

Govern

Preserve the model-use question, validation plan, reviewed evidence and computational conclusion in one evaluation record.

Start an evaluation →
Connected model-evaluation path

Scope → Run → Review → Conclude.

Governed computation stays inside the evaluation evidence chain. Exact inputs, runtime identity, outputs and review state remain attached to every downstream claim and model-use recommendation.

01ScopeModel-use question, context and success criteria
02RunVersioned inputs, governed tools and durable computation
03ReviewArtifacts, claims, contradictions and qualification
04ConcludeModel-use recommendation and Bayes Pharma handoff
Verification across every stage6 visible controls · 25 total capabilities
Scientific Verification OS
Executable Claim EngineTurn scientific statements into structured, rerunnable claims with population/context, intervention, comparator, outcome, evidence and reproducibility state.
Scientific Unit TestsRun golden cases, invariants, calibration checks, failure cases and out-of-domain tests against exact scientific model versions.
Bayesian Scientific Decision TwinRepresent programme beliefs explicitly and update them as evidence changes.
Governed execution
ToolsInspect scientific tool passports, intended use, exact versions, typed inputs and evidence boundaries.
JobsConfigure and monitor durable scientific execution with runtime state, cost context and reproducible artifacts.
BatchesRun governed candidate or dataset batches without losing project identity or per-item lineage.
Scientific intelligence

Explore models and evidence.

Search by model, organisation, capability or scientific principle. Catalogue fit is never presented as scientific validation.

86Matching records
Open full registry
Question → evidence → validation → handoff

Begin with the model-use question you need to answer.

Create one governed evaluation record for context, versions, computation, contradiction, review and the next evidence gate. Therapeutic programme authority remains in Bayes Pharma Discovery OS.