| Votes | By | Price | Discipline | Year Launched |
| Google DeepMind | FREE FOR NON-COMMERCIAL USE | Interdisciplinary |
AlphaFold 3 extended the model that reshaped structural biology from protein folding to the prediction of complexes — proteins with nucleic acids, ligands, ions and modified residues. For a great many structural questions it is now the first thing a researcher tries, before any experiment is designed.
What it does
Access comes in two forms: the AlphaFold Server for non-commercial use through a browser, and released code for local deployment under licence conditions. The server handles the common cases without infrastructure; local deployment matters for confidential targets and for pipelines that need to run at volume.
Strengths
- State-of-the-art accuracy across a wide range of target classes.
- Handles complexes and ligands, not only single-chain proteins.
- Browser-based server requires no local compute.
- Per-residue confidence scores that meaningfully flag unreliable regions.
Limitations
Licensing is the sore point: non-commercial terms and restricted code release drove much of the field toward open alternatives such as Boltz and Chai-1. Predictions are models, not structures — confidence scores flag uncertainty but do not eliminate it, and disordered regions and novel folds remain weak spots.
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