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ES

Esmfold

huggingface.co·Infrastructure·🇺🇸

ESMFold is an open-source protein folding model developed by Meta AI that uses a large language model backbone (ESM-2) to directly predict 3D atomic coordinates from a protein sequence. Unlike AlphaFold2, it does not require multiple sequence alignments or external databases, resulting in significantly faster inference times. It is available via Hugging Face with Transformers integration and is intended for researchers working in structural biology and protein design.

Open SourceWebAPI
EEsmfold preview
Visit huggingface.co↗
1alternative
5features
2022since

Overview

5 features

In the Other AI space, Esmfold takes a focused approach. It focuses on predicting accurate 3D protein structures quickly without the computational overhead of multiple sequence alignment databases. It is built as an open-source project for computational biologists and researchers. Esmfold is open source under the Open Source license. It ships for the web and API.

It is developed by Meta AI (United States), and it first shipped in 2022. Among its 5 catalogued features are protein structure prediction, end-to-end folding, and No MSA required. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

  • ✓Protein structure prediction
  • ✓End-to-end folding
  • ✓No MSA required
  • ✓Fast inference
  • ✓PyTorch integration
Tags
protein-foldingesm-2structure-predictionbioinformaticsmetai-model
AI capabilities
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
AI providers
meta_llama
Connectors
API
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
meta_llama
llama- in the HTML

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓Free tier
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jul · 09:16 UTC
    facebook/esmfold_v1 verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Esmfold

What is Esmfold?
Esmfold focuses on predicting accurate 3D protein structures quickly without the computational overhead of multiple sequence alignment databases. It is catalogued under Other AI on PulseGate.
Who should use Esmfold?
Esmfold is an open-source project built for computational biologists and researchers.
Is Esmfold free?
Yes — Esmfold is open source under the Open Source license and free to use.
What platforms does Esmfold run on?
Esmfold runs on the web and API.
Is Esmfold still active?
Unverified. Esmfold has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Esmfold?
Similar projects tracked by PulseGate include ESMFold2, ESMFold2 Experimental, and ESMFold2 Fast.ESMFold2ESMFold2 ExperimentalESMFold2 Fast
Who develops Esmfold?
Esmfold is developed by Meta AI, based in the United States.
When did Esmfold launch?
Esmfold first shipped in 2022.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
Open Source
Built for
Computational biologists and researchers
Model
Open source
Solves
Predicting accurate 3D protein structures quickly without the computational overhead of multiple sequence alignment databases.

Registered as

Hugging Face
facebook/esmfold_v1

Developer

🇺🇸Meta AI

Live coverage

Identity confidence
Medium · 70.4
Indexed
30 Jul 2026
Lifecycle
Alive
Last seen
30 Jul 2026
Identity audit (13)
Slug
facebook-esmfold-v1-huggingface-co
Lifecycle state recorded
30 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
30 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
5 Aug 2026
Canonical URL
https://huggingface.co/facebook/esmfold_v1

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