ArticleNature structural & molecular biology2022
A structural biology community assessment of AlphaFold2 applications.
Article in Nature structural & molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 366 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
366 citing papers in PubMed, 1 synthesis or guideline pooled it.
- (Re)defining the human chromatome: an integrated meta-analysis of localization, function, abundance, physical properties, and domain composition of chromatin proteins.Nucleic acids research · 2026Pooled it
- Predicting RNA and Protein:RNA Complexes with AlphaFold: Possibilities, Limitations, and Practical Guidelines.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Integrating evolutionary signals and predicted protein structure reveals localized molecular divergence in Cereus lineages.Genetica · 2026Article
- Functional diversification across yeast lineages of the nucleus-vacuole junction forming protein Nvj1.bioRxiv : the preprint server for biology · 2026Article
- Comprehensive evaluation of AlphaFold/OpenFold prediction of experimentally unresolved proteins through novel metrics.Briefings in bioinformatics · 2026Article
- Review
- Autoinhibition of untimely DNA binding by structural disorder in the full-length peroxisome proliferator-activated receptors (PPARs).Nature communications · 2026Article
- Bitter taste TAS2R14 and TAS2R46 receptors bound to G proteins: comparison of cryo-EM, AlphaFold, and molecular dynamics structures.European biophysics journal : EBJ · 2026Article
- AF-CALVADOS: AlphaFold-guided simulations of multi-domain proteins at the proteome level.Protein science : a publication of the Protein Society · 2026Article
- Innovative approaches to therapeutic target discovery amid the global challenge of antimicrobial resistance.Journal of computer-aided molecular design · 2026Review
- AlphaFold reveals but sometimes distorts an organizational principle of protein folding.bioRxiv : the preprint server for biology · 2026Article
- Integrative structural interactomics reveals protein organization and structure in a giant virus.Nature communications · 2026Article
- Article
- Predicting the metalloproteome of Deinococcus indicus DR1 through integrative structure and function annotation.Biodegradation · 2026Article
- DeepPath: overcoming data scarcity for protein transition pathway prediction using physics-based deep learning.Chemical science · 2026Article
- The LOK C-terminus is an IBAR-like domain that facilitates membrane binding and ezrin colocalization.Biophysical journal · 2026Article
- Investigating the structural basis of surfactant protein D oligomerization: The crucial role of Cys15-Cys15/Cys20-Cys20 disulfide bond linkage.Protein science : a publication of the Protein Society · 2026Article
- Balancing under constraint: Structural insights into norovirus evolution and antigenic innovation.PLoS pathogens · 2026Article
- Bridging structure and function: artificial intelligence-based modelling of kidney proteins.Nature reviews. Nephrology · 2026Review
- Structural genomics sheds light on protein functions and remote homologs across the insect tree of life.Cell research · 2026Article
306 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
34 authors.
Funding
Abstract
Most proteins fold into 3D structures that determine how they function and orchestrate the biological processes of the cell. Recent developments in computational methods for protein structure predictions have reached the accuracy of experimentally determined models. Although this has been independently verified, the implementation of these methods across structural-biology applications remains to be tested. Here, we evaluate the use of AlphaFold2 (AF2) predictions in the study of characteristic structural elements; the impact of missense variants; function and ligand binding site predictions; modeling of interactions; and modeling of experimental structural data. For 11 proteomes, an average of 25% additional residues can be confidently modeled when compared with homology modeling, identifying structural features rarely seen in the Protein Data Bank. AF2-based predictions of protein disorder and complexes surpass dedicated tools, and AF2 models can be used across diverse applications equally well compared with experimentally determined structures, when the confidence metrics are critically considered. In summary, we find that these advances are likely to have a transformative impact in structural biology and broader life-science research.
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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.