# AlphaFold > **Machine-Evolution Nexus:** [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism and the Invisible World of Machine Evolution]] places this node within the history and governance of substrate-independent evolution. **Domain:** AI for Science / Structural Biology **Doc Type:** Canonical Wiki Node **Maturity:** Developed ## Definition AlphaFold is a family of machine-learning systems for predicting biomolecular structure, best known for high-accuracy protein structure prediction. ## Nexus Context Its models use sequence, structural and evolutionary information; multiple-sequence relationships expose conservation and covariation created by descent. Machine intelligence thus reads an archive evolution produced. ## Evidence Boundary A prediction includes uncertainty and is not a complete account of dynamics, cellular function or experimental truth. AlphaFold’s architecture and inputs have changed across versions. ## Relationships [[wiki/Protein Structure Prediction|Protein Structure Prediction]], [[wiki/Multiple Sequence Alignment|Multiple Sequence Alignment]], [[wiki/Evolutionary Covariation|Evolutionary Covariation]], [[wiki/AI for Science|AI for Science]] ## Sources / Provenance - Jumper et al., _Nature_ 596 (2021); AlphaFold documentation.