Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
AlphaFold DB is an open-access database providing over 200 million protein structure predictions generated by Google DeepMind's AI system. It aims to accelerate scientific research by making highly accurate protein 3D structures freely available to the global scientific community.
Words AI uses
AI reaches for foundational · crucial · biology-specific when it describes AlphaFold.
Sources
youtube.com shapes more of what AI says about AlphaFold than any other source, at 17% of its citations.
nature.com · science.org · aiwiki.ai · bakerlab.org
The market map
Biopharma Research Platforms and Services →Where AI ranks AlphaFold
Excerpts where AlphaFold appeared in the AI's answer

AlphaFold (Google DeepMind) : While primarily a structure prediction tool rather than a generative designer, AlphaFold acts as the indispensable validation oracle

AlphaFold (Google DeepMind): While primarily recognized for protein structure prediction, AlphaFold's technology forms the foundation for many newer protein engineering AI models.
Excerpts where AlphaFold appeared in the AI's answer

AlphaFold : Predicts 3D structures of proteins from amino acid sequences with atomic accuracy, allowing researchers to visualize binding targets and structurally assess how compounds fit before running physical assays.

AlphaFold 3 (Google DeepMind): Predicts the structure and interactions of proteins with other molecules, essential for virtual screening.