ArticleMolecular cell2023
Large-scale clustering of AlphaFold2 3D models shines light on the structure and function of proteins.
Article in Molecular cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Assessing the relation between protein phosphorylation, AlphaFold3 models, and conformational variability.Protein science : a publication of the Protein Society · 2026Article
- 3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization.BMC medical research methodology · 2025Article
- Protein sequence modelling with Bayesian flow networks.Nature communications · 2025Article
- Deep Learning Approaches for the Prediction of Protein Functional Sites.Molecules (Basel, Switzerland) · 2025Review
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Authors and funding
3 authors.
Funding
Abstract
Two recent studies exploited ultra-fast structural aligners and deep-learning approaches to cluster the protein structure space in the AlphaFold Database. Barrio-Hernandez et al.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.