AlphaFold 3

Biomolecular Structure Prediction
Visit
0
0
Votes By Price Discipline Year Launched
Google DeepMind FREE FOR NON-COMMERCIAL USE Interdisciplinary
Description
Features
Offers
Reviews

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.

Leave a Reply

Similar Tools