Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
AlphaFoldalphafold.ebi.ac.ukAlphaFold (EMBL-EBI) provides AI-predicted 3D structures of proteins from amino acid sequences to enable exploration of protein shapes and functions. It maintains a public Protein Structure Database with downloadable models and per-residue confidence scores, searchable by proteins and UniProt IDs, with integrated visualization. The goal is to accelerate biological and biomedical research by widening access to reliable protein structural information without experimental structure determination.
AlphabetAlphaFoldThe market map · 5 of 100 labelled
Biopharma Research Platforms and Services →Where AlphaFold ranks in AI
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Advanced Research Projects Agency for Health (ARPA-H)Picked instead1 question
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Excerpts where AlphaFold appeared in the AI's answer
AlphaFold (Google DeepMind / Isomorphic Labs): The undisputed king of structure prediction .
AlphaFold (2 / 3) / ESMFold: Used universally as the final "sanity check" to predict the structure of your newly designed sequence
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.
Excerpts where AlphaFold appeared in the AI's answer
AlphaFold (3 / Multimer): While technically a structure-prediction tool rather than a generative designer, it is indispensable in the engineering loop.
AlphaFold & RoseTTAFold: Widely utilized foundational structure-prediction models that startups integrate into pipelines to map how generative sequence changes impact 3D enzyme architecture.
SomaScan PlatformRanking↑5 to #11
