IsoDDE moves beyond structure prediction

What changed. Isomorphic Labs reports that its drug-design engine more than doubled AlphaFold 3 accuracy on a difficult generalization benchmark, exceeded physics-based binding-affinity methods on cited public benchmarks, and recovered a cryptic cereblon pocket from sequence alone.

Technique / discovery. Unified biomolecular prediction, binding-affinity modeling, novel-pocket detection, and generalization testing.

Why it matters. AI drug discovery is expanding from static structure prediction toward integrated affinity, pocket, and design models.

Application. Small-molecule drug discovery

Evidence maturity. Technical report (source tier A)

Identified bottleneck. Company benchmarks do not establish prospective drug success, toxicity, manufacturability, or clinical benefit.

Caveat / evidence note. First-party technical report; prospective and independent experimental validation is essential.

Review status. Reviewed. User requested: Yes.

• Isomorphic Labs (opens in a new tab)

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