Historical milestone · 2021
AlphaFold2
Reviewed through September 18, 2026
2021 · Historical milestone
AlphaFold2
- Era
- 2020s
- Theme
- AI for science
- Evidence form
- CASP14 blind prediction
- School / paradigm
- Scientific machine learning / structural biology
- Institution / context
- Google DeepMind
- Researchers
- John Jumper; collaborators
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Combined learned sequence representations, evolutionary information, geometric reasoning, and end-to-end structure prediction.
Result / historical claim. Approached experimental accuracy for many protein targets in the CASP14 assessment.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: AI for science.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. CASP14 blind prediction
Limitation / debate. A predicted structure is not proof of molecular dynamics, function, disorder, every complex, or clinical utility.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is AI for science.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.