What it is
ESMFold predicts structure straight from one sequence using the ESM-2 protein language model instead of a multiple-sequence alignment, making it far faster. It powered the ESM Metagenomic Atlas of 600M+ predicted structures from the microbial 'dark matter' of the biosphere.
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.
Model passport
How ESMFold represents biology
Category is navigation. These fields describe the model-specific computational transformation and deliberately override broad category defaults.
Biological scale
Modalities & tasks
Registry, claims and frontier intelligence
Version history not yet curated
1 version record · release year not yet normalized. Model-family identity remains separate from capability and access changes.
Explore version lineage →0 normalized claims
No task, dataset, split and metric claim has been normalized for this record yet.
Open claim intelligence →0 connected frontiers
No frontier-research record currently connects to this model.
Inspect research horizon →Inputs and outputs
Inputs
Single amino-acid sequenceOutputs
Protein 3D structureConfidence estimatesScientific and technical profile
Scientific principles
Technology
Scientific lineage
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.
Anfinsen’s dogma—the thermodynamic hypothesis
Christian B. AnfinsenProtein structure prediction, inverse folding and generative protein design all assume that sequence strongly constrains structure and function.
Protein sequence databases, evolutionary substitution matrices and computational comparison
Margaret Oakley DayhoffProtein language models, homology inference, multiple-sequence alignments and evolutionary priors inherit her conversion of sequence biology into computable data.
Atomic structures of biologically important molecules by X-ray crystallography
Dorothy Crowfoot HodgkinStructure-based drug design depends on the experimental structural tradition she helped establish.
Information, entropy and communication
Claude E. ShannonSequence modelling, cross-entropy training, language models, mutual information and representation learning all use Shannon’s framework.
The alpha helix, beta sheet and hydrogen-bonded protein structure
Linus Pauling, Robert Corey & Herman BransonProtein representation, fold recognition, structural priors and generative protein design all encode these recurring geometric motifs.
X-ray evidence for the helical structure of DNA
Rosalind Franklin & Raymond GoslingStructural genomics and sequence-to-structure reasoning began with experimentally grounded molecular geometry.
Evaluation evidence
BioAtlas has not yet extracted a structured benchmark claim for this record.
Known limitations
- Performance depends on the evaluation dataset and operating conditions.
- A structured benchmark claim has not yet been extracted for this record.
- Outputs require task-specific scientific and experimental validation.
Milestones
~60x faster than MSA-based methods.
Built the ESM Metagenomic Atlas.