Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques.
Works, Applications, Art & Products
Explore the main themes, entities and connections around AlphaFold. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
protein proteins structures structure prediction database predictions models also research sequence gdt 2020 data accuracy used model available achieved 2024
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| AlphaFold | Curation policy | automatic | 1.00 | infobox |
| AlphaFold | Data types captured | protein structure prediction | 1.00 | infobox |
| AlphaFold | Download URL | yes | 1.00 | infobox |
| AlphaFold | License | CC-BY 4.0 | 1.00 | infobox |
| AlphaFold | Organisms | all UniProt proteomes | 1.00 | infobox |
| AlphaFold | Research center | EMBL-EBI | 1.00 | infobox |
| AlphaFold | Web | yes | 1.00 | infobox |
| AlphaFold | Website | https://www.alphafold.ebi.ac.uk/ | 1.00 | infobox |
| AlphaFold | is a | artificial intelligence | 0.90 | text |
| X-ray crystallography | instance of | The 3-D structure is necessary to understanding the biological function of the protein.Protein structures can be determined experimentally through techniques | 0.80 | text |
| cryo-electron microscopy | instance of | The 3-D structure is necessary to understanding the biological function of the protein.Protein structures can be determined experimentally through techniques | 0.80 | text |
| nuclear magnetic resonance | instance of | The 3-D structure is necessary to understanding the biological function of the protein.Protein structures can be determined experimentally through techniques | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.