biohub/ESMFold2-Experimental provides experimental models for high-resolution protein structure prediction. Building on ESMFold technology, it accepts single sequences or multiple sequence alignments (MSAs) to generate 3D atomic coordinates and confidence estimates. Released to support reproducibility of research findings, it is intended for academic and scientific use in structural biology.
ESMFold2 Experimental is an Other AI product. It focuses on predicting accurate all-atom 3D structures of proteins from sequence data for biological research. ESMFold2 Experimental is an open-source project aimed at researchers. The project is open source (Open Source). It runs on the web and API.
Biohub builds and maintains ESMFold2 Experimental, 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 Modeling, and MSA Conditioning. It exposes integrations via a public API.
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