# Computational Biology > **Machine-Evolution Nexus:** [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism and the Invisible World of Machine Evolution]] provides the evolutionary and computational context for this supporting concept. **Domain:** Biology / Computation **Doc Type:** Supporting Canonical Node **Maturity:** Developed ## Definition Computational biology uses algorithms, models and data systems to investigate biological structure, function, evolution and populations. ## Nexus Context Avida uses computation to test evolutionary principles, while AlphaFold uses machine learning to read evolutionary records. Both depend on explicit mappings between model and biological target. ## Relationships [[wiki/Avida|Avida]], [[wiki/AI for Science|AI for Science]], [[wiki/Comparative Genomics|Comparative Genomics]], [[wiki/Scientific Inference|Scientific Inference]] ## Sources / Provenance - Developed from the cited research in the central article and the surrounding continuity, rights and evolutionary architecture.