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ESMFold - Biological AI Models | aibioatlas | aibioatlas

ESMFold Scientific Architecture · Meta AI / ESM contributors

Biological AI Models · Protein Structure

ESMFold

Protein structure inference from sequence with a protein language model

Protein structure inference from sequence with a protein language model. Memory requirements increase with sequence length; this is the original ESMFold implementation.

Protein structure inference from sequence with a protein language modelInput: Amino-acid sequencesOutput: Predicted protein coordinates and confidence

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Protein structure inference from sequence with a protein language model. Memory requirements increase with sequence length; this is the original ESMFold implementation.

اطلاعات با مراجع رسمی تطبیق داده شده است؛ آزمایشگاهی نیست. منبع استناد · آخرین بازبینی: 16/09/2026, 17:33:40 UTC

قابلیت‌های کلیدی

Protein structure inference from sequence with a protein language model
Input: Amino-acid sequences
Output: Predicted protein coordinates and confidence

Interactive 3D Illustration

Biological Architecture (Stylized Ribbon)

Default view is a stylized demonstration ribbon. Enter any 4-letter RCSB PDB accession code above to stream real atomic coordinates.

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Illustrative Confidence Gradient:

>90 High / Low B 70-90 Confident 50-70 Low <50 Very low / High B

Academic Context & Research Evidence

Biological & Workflow Fit

Compute & Hardware: Consult linked installation guidance; workload dependent
Licensing & Academic Use: Review the linked release, model weights, datasets and service terms separately
Documented Evidence: Project or provider documentation; no local performance benchmark

Cite this Tool

Use this citation format when referencing ESMFold in scientific publications and benchmark papers.

@software{esmfold_2026,
  title = {{ESMFold}},
  author = {{Meta AI / ESM contributors}},
  year = {2026},
  url = {https://github.com/facebookresearch/esm},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations queried from Europe PMC and PubMed for ESMFold.

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مشخصات فنی و محاسباتی

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeResearch software / model

Access modePublic code / project terms

AI roleScientific machine learning

Input dataAmino-acid sequences

Output dataPredicted protein coordinates and confidence

Licence conditionsReview the linked release, model weights, datasets and service terms separately

Commercial eligibilityNot independently confirmed

Compute requirementsConsult linked installation guidance; workload dependent

ValidationEvaluate on representative data; no clinical suitability established

TypeNot recorded

Intended useBiological and pharmaceutical research

CompatibilityNot recorded

LimitationsMemory requirements increase with sequence length; this is the original ESMFold implementation.

Evidence levelProject or provider documentation; no local performance benchmark

AvailabilitySee project access and maintenance status

Price / accessSee project terms; compute costs may apply

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

Gallery & resources

ESMFold Scientific Architecture · Credit: Meta AI / ESM contributors · Open original ↗

Research and editorial use Source & attribution ↗ License ↗

Resource: Project documentation and evidence ↗ · github.com

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