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Isomorphic Labs (IsoDDE)

AlphaFold's spin-off, aiming to 'solve all disease'.

1/7Evidence fields documented
60-SECOND EVALUATION VIEW

What should a scientist know before using Isomorphic Labs (IsoDDE)?

UnresolvedEvidence direction is incomplete or not yet resolved
Best suited forPlatform · Discovery
Evidence supportsPrimary links may be present, but BioAtlas does not claim a review date without a record-level timestamp.
Evidence does not establishUniversal superiority, therapeutic success, clinical utility or regulatory acceptance.
Major limitationIndependent reproducibility is limited by proprietary access.
Current registry recordVersion history pending0 recorded releases · Review date not recorded. A newer version is not assumed to be universally better.

What it is

Isomorphic Labs is DeepMind's drug-discovery spin-off, co-developer of AlphaFold 3. In 2026 it unveiled IsoDDE (the Isomorphic Drug Design Engine), a unified system that more than doubled AF3's accuracy on the hardest protein–ligand generalization benchmark, predicts binding affinity faster than physics methods, and finds novel binding pockets from sequence alone. Backed by a $600M round (2025) and ~$3B in Novartis/Lilly/J&J deals, it plans first-in-human trials of its own oncology candidates by end of 2026.

Evidence trail

BioAtlas keeps the path from source to decision visible. A connection records provenance; it does not imply that evidence is sufficient for every context.

Sources2 connectedPrimary resources and normalized claims
Claims0 normalizedNo normalized claim yet
EntityIsomorphic Labs (IsoDDE)organization · Version history pending
ReviewReview date not recordedReview date not claimed
ConclusionContext requiredAdd to an evaluation before operational use

Model passport

Entity typeorganization
OrganizationIsomorphic Labs (Alphabet)
Organization founded2021
AccessProprietary
Commercial useVendor terms
DeploymentVendor managed
ComputeVendor managed
Domainscompany
Biology → representation → computation → evidence

How Isomorphic Labs (IsoDDE) represents biology

organizationcompany

Category is navigation. These fields describe the model-specific computational transformation and deliberately override broad category defaults.

1 · Biological inputs
Disease hypothesis and multimodal evidence
2 · Input representation
Organization / platform dependent
3 · Internal representation
Multiple systems
4 · Architecture
Organization / discovery system
5 · Learning objective
Integrated discovery
6 · Output representation
Programs and evidence

Biological scale

Modalities & tasks

MultimodalPlatformDiscovery

Registry, claims and frontier intelligence

Versioned registry

Version history pending

0 version records · release year not yet normalized. Model-family identity remains separate from capability and access changes.

Explore version lineage →
Benchmark claim ledger

0 normalized claims

No task, dataset, split and metric claim has been normalized for this record yet.

Open claim intelligence →

Inputs and outputs

Inputs

Disease hypothesis and multimodal evidence

Outputs

Targets, candidates or development programs

Scientific and technical profile

Scientific principles

Structure prediction → drug designGeneralization to novel chemistryAffinity & pocket prediction

Technology

AlphaFold 3 foundationIsoDDE unified engineIn-silico 'dataverse' at GPU scale
Ideas before algorithms

Scientific lineage

Explore all foundations

These are transparent concept matches—not claims that one scientist alone caused this model. Each connection is based on the model’s recorded domain, scientific principles, technical terms or an explicit lineage link.

Structural biology

Anfinsen’s dogma—the thermodynamic hypothesis

Christian B. Anfinsen

Protein structure prediction, inverse folding and generative protein design all assume that sequence strongly constrains structure and function.

Matched concepts: sequence, fold, protein
Medicinal chemistry & pharmacology

Selective toxicity and the ‘magic bullet’

Paul Ehrlich

Target selectivity, therapeutic index and mechanism-based screening remain central goals of drug discovery.

Matched concepts: target
Medicinal chemistry & pharmacology

Rational antimetabolite drug design

Gertrude B. Elion & George H. Hitchings

Mechanism-based design, pathway selectivity and iterative medicinal chemistry are direct descendants of this strategy.

Matched concepts: candidate
Biologics & genome engineering

Phage display and selection of binding proteins

George P. Smith & Sir Gregory P. Winter

Display-based selection created an experimental search engine for protein binders and remains a core validation partner for computational antibody design.

Matched concepts: affinity

Evaluation evidence

Dataset or evaluationNot yet curated
Task or metricNot yet extracted
Evidence statusNo task-specific benchmark record curated
Open source ↗

BioAtlas has not yet extracted a structured benchmark claim for this record.

Known limitations

  • Independent reproducibility is limited by proprietary access.
  • A structured benchmark claim has not yet been extracted for this record.
  • Outputs require task-specific scientific and experimental validation.

Milestones

2021

IsoDDE more than doubles AF3 accuracy on hardest targets.

Evidence

Partnerships with Novartis, Eli Lilly and J&J.