ESMFold2-Experimental-Fast is an experimental iteration of the ESMFold model designed for faster protein structure prediction from single sequences or multiple sequence alignments. It outputs high-resolution all-atom 3D structures along with confidence estimates. The model is released to support research reproducibility and is intended primarily for academic and scientific use in structural biology.
In the Other AI space, ESMFold2 Experimental Fast takes a focused approach. It focuses on predicting accurate 3D protein structures from amino acid sequences quickly. ESMFold2 Experimental Fast is an open-source project aimed at biologists. The project is open source (Open Source). The product ships for the web and API.
biohub builds and maintains ESMFold2 Experimental Fast, and the product first shipped in 2024. The project is developed in the open on GitHub with 2.9k stars and 18 commits in the last 90 days. Among its 3 catalogued features are Protein Structure Prediction, 3D Structure, and Confidence Estimation.
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