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OpenFold 3

OpenFold3 focuses on accuracy and usability in structural biology workflows. It predicts monomers and complexes with calibrated confidence, refines geometries to reduce clashes, and supports ligand or interface constraints when available. Results export as PDB or mmCIF, and the model surfaces per-residue scores that guide downstream filtering, docking, or simulation. It is suited to target selection, mutation analysis, and design loops that require fast, consistent structure hypotheses.
Image Gen 4
Released: October 28, 2025

Overview

OpenFold3 is a protein structure and complex prediction model. It maps sequences to 3D structures with per-residue confidence, supports multimers and ligands, and exports standard formats for modeling and design.

About OpenFold Consortium

OpenFold Consortium is a non-profit AI research consortium focused on developing open-source software tools for biology and drug discovery, making high-performance molecular prediction models widely accessible.

Website: openfold.io
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Last updated: October 29, 2025
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