esmfold_v1

Introduction
ESMFold is a cutting-edge, end-to-end protein folding model developed on an ESM-2 backbone. Unlike other models, ESMFold does not require a lookup or MSA step, making it independent of external databases for predictions. This results in significantly faster inference times compared to models like AlphaFold2.

Architecture
ESMFold operates with an ESM-2 backbone, bypassing the need for external databases. This architecture enhances its efficiency by eliminating the need for multiple sequence alignment (MSA) steps, which are commonly required in other protein folding models.

Training
For comprehensive details on the model architecture and training processes, refer to the paper published at Science.

Guide: Running Locally

1. Access the tutorial notebook for step-by-step instructions on using ESMFold.
2. Set up your environment with the necessary dependencies as outlined in the notebook.
3. Consider using cloud GPU services such as Google Colab, AWS, or Azure for optimal performance when running the model.

License
ESMFold is released under the MIT License, allowing for broad use and modification.