esmfold_v1 huggingface.co api & Aurigene-AI esmfold_v1 github AI Model

Introduction of esmfold_v1

Model Details of esmfold_v1

Mirrored by Aurigene AI

Discovery stage: Target identification

End-to-end protein structure prediction from a single sequence, with no MSA step. Folds orphan sequences and designed constructs in seconds.

Upstream: facebook/esmfold_v1 - all credit to the original authors; the model card and licence below are theirs.

Explore the rest of the catalogue: Molecule Explorer - Protein Target Explorer - Drug Discovery Model Hub

ESMFold

ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone. It does not require any lookup or MSA step, and therefore does not require any external databases to be present in order to make predictions. As a result, inference time is very significantly faster than AlphaFold2. For details on the model architecture and training, please refer to the accompanying paper .

If you're interested in using ESMFold in practice, please check out the associated tutorial notebook .

Runs of Aurigene-AI esmfold_v1 on huggingface.co

Total runs

-1

24-hour runs

-1

3-day runs

-15

7-day runs

-7

30-day runs

More Information About esmfold_v1 huggingface.co Model

More esmfold_v1 license Visit here:

https://choosealicense.com/licenses/mit

esmfold_v1 huggingface.co

esmfold_v1 huggingface.co is an AI model on huggingface.co that provides esmfold_v1's model effect (), which can be used instantly with this Aurigene-AI esmfold_v1 model. huggingface.co supports a free trial of the esmfold_v1 model, and also provides paid use of the esmfold_v1. Support call esmfold_v1 model through api, including Node.js, Python, http.

esmfold_v1 huggingface.co Url

https://huggingface.co/Aurigene-AI/esmfold_v1

Aurigene-AI esmfold_v1 online free

esmfold_v1 huggingface.co is an online trial and call api platform, which integrates esmfold_v1's modeling effects, including api services, and provides a free online trial of esmfold_v1, you can try esmfold_v1 online for free by clicking the link below.

Aurigene-AI esmfold_v1 online free url in huggingface.co:

https://huggingface.co/Aurigene-AI/esmfold_v1

esmfold_v1 install

esmfold_v1 is an open source model from GitHub that offers a free installation service, and any user can find esmfold_v1 on GitHub to install. At the same time, huggingface.co provides the effect of esmfold_v1 install, users can directly use esmfold_v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.