Who cites “Highly accurate protein structure prediction with AlphaFold”, and what for

A real example: what you get

6 new papers citing “Highly accurate protein structure prediction with AlphaFold.”

• What each one does with it: questions it, supports it, builds on it, uses it or mentions it
• The sentences that cite it, read in the citing paper
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The first results

1. La-Ribo: RNA Co-Design via Geometry-Latent Flow Matching uses it It adopts the atom37 coordinate representation associated with AlphaFold for biomolecular structures.
2. ProTok: Unified Protein Tokenization via Modular Multi-Codebook Quantization uses it It uses AlphaFold2-predicted Swiss-Prot structures as part of its protein tokenizer training data.
3. MARCO: The Radioactive Watermark for Protein Generative Models uses it Its architecture incorporates AlphaFold's Invariant Point Attention module.
4. Multi-Scale Temporal Flows for Peptide Trajectory Generation uses it It uses residue-frame and torsion representations and an AlphaFold Invariant Point Attention module to encode structural context.
5. Multiscale Quantum-Classical Simulation of Protein Autoproteolysis in a Million-Atom Membrane Environment uses it It uses AlphaFold2 predictions to construct and align structural models of human ADGRG1.
6. HierDTA: Hierarchical Structure-Aware Representation Learning for Drug--Target Affinity Prediction uses it It constructs residue-level protein graphs from predicted structures obtained from the AlphaFold database.

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