ESMFold2 GitHub Guide

Use the Biohub ESM repository as the first technical source for ESMFold2 examples. The repository links the cookbook notebook, package guidance, and current implementation details.

Because client names and imports can change, this site avoids treating one client class as permanent. Generated code is a starter scaffold and should be checked against the current repository before use.

Biohub and GitHub sources state open code and model weights with MIT licensing. Use still remains subject to Biohub Acceptable Use Policy and platform guardrails.

Do not reduce the licensing story to "completely free for anything." A scientific tool page should preserve the AUP and safety boundary.

The goal is to route users to the current official repo quickly, explain which files matter, and connect them to browser-local helper tools such as the code generator.

Searchers often type "esmfold github" and land on older ESMFold material, archived examples, third-party Docker images, or Hugging Face transformer snippets. Those resources may still be useful for background, but they should not be treated as the current ESMFold2 source path.

For ESMFold2, the safer path is to start from the Biohub ESM repository linked by the official model page. That path reduces the risk of copying an old import, an outdated install command, or a workflow that only targets the older ESMFold stack.

Check the package install command, Python imports, model identifier, supported input objects, folding configuration, and output file handling. If a snippet includes a token, the token should come from your own environment or secret store, not from a browser form.

Also check whether the example is using the Biohub platform API, a local model-weight path, or a notebook helper. Those are different execution models with different cost, privacy, and acceptable-use implications.

The code generator on this site is deliberately conservative. It gives users a scaffold with placeholders, reminders, and a minimal save path, then pushes them back to the official repository for final verification.

That approach is less risky than publishing a brittle, highly specific client snippet as if it were permanent API truth. It also keeps Track A browser-local and avoids collecting user sequences or tokens.

A practical reading order starts with the repository README, then moves to the cookbook notebook, then checks any model-card or platform links that the repository references. That order usually gives users both context and executable examples.

After that, inspect the exact files used by the notebook or package import. This helps distinguish stable public examples from implementation details that could change without being a user-facing API guarantee.

For SEO visitors, this page should reduce time-to-source. The goal is not to summarize every repository file, but to tell users what to open first and what must be verified before they run a prediction workflow.

This launch page is written as a third-party guide, not as an official Biohub page. It links to Biohub, GitHub, Colab, model-card, paper, and reporting sources so readers can verify current details before copying code or making technical decisions.

The free Track A site does not collect protein sequences, private Biohub tokens, prediction outputs, or uploaded structure files. Browser-local tools can prepare starter code and examples, but hosted prediction, stored results, queues, and credits remain Phase 2 features.

Predicted structures should not be described as experimental validation, clinical evidence, or drug-development proof. When this page mentions model scope or comparisons, it keeps claims tied to official or clearly attributed sources.

If a source changes after this page is published, the source should win. The page should be updated with a new verification date instead of preserving stale client names, model IDs, pricing assumptions, or unsupported benchmark language.