ArticleNucleic acids research2017
CATH: an expanded resource to predict protein function through structure and sequence.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
192 citing papers in PubMed.
- Latent generative search unlocks de novo design of untapped biomolecular interactions at scale.bioRxiv : the preprint server for biology · 2026Article
- Investigating enzyme function by geometric matching of catalytic motifs.Protein science : a publication of the Protein Society · 2026Article
- Property guidance for protein sequence generative models with ProteinGuide.Nature biotechnology · 2026Article
- Computational Predictions and Evolutionary Analysis ofInternational journal of molecular sciences · 2026Article
- Flagellar glycosylation with pseudaminic acids is widespread in the genus Clostridium.BMC microbiology · 2026Article
- Analysis of a Novel T1-like Phage KanT1 Reveals a Standalone SH3 Domain as a Widespread Component ofInternational journal of molecular sciences · 2026Article
- Detecting misfolded non-covalent lasso entanglements in protein structures, simulation trajectories, and mass spectrometry data.bioRxiv : the preprint server for biology · 2026Article
- Struct2GO-Enhanced: Multimodal Graph Attention Improves Protein Function Prediction.Journal of chemical information and modeling · 2026Article
- Protein folding stability estimation with explicit consideration of unfolded states.Nature communications · 2026Article
- Overcoming research bias: The untapped potential of biomedically important but understudied proteins.iScience · 2025Article
- High-quality draft genome sequence ofMicrobiology resource announcements · 2025Article
- SuperEdgeGO: Edge-supervised graph representation learning for enhanced protein function prediction.PLoS computational biology · 2025Article
- CAZyme3D: A Database of 3D Structures for Carbohydrate-active Enzymes.Journal of molecular biology · 2025Article
- Rprot-Vec: a deep learning approach for fast protein structure similarity calculation.BMC bioinformatics · 2025Article
- AcrDB update: Predicted 3D structures of anti-CRISPRs in human gut viromes.Protein science : a publication of the Protein Society · 2025Article
- The crystal structures of apo and tryptophan-bound tryptophanyl-tRNA synthetase from Neisseria gonorrhoeae.Acta crystallographica. Section F, Structural biology communications · 2025Article
- Tailored structured peptide design with a key-cutting machine approach.Nature machine intelligence · 2025Article
- Structure-based protein and small molecule generation using EGNN and diffusion models: A comprehensive review.Computational and structural biotechnology journal · 2024Review
- Article
- Folds from fold: Exploring topological isoforms of a single-domain protein.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
132 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the number of predicted protein domains in the previous version. The daily-updated CATH-B, which contains our very latest domain assignment data, provides putative classifications for over 100 000 additional protein domains. This article describes developments to the CATH-Gene3D resource over the last two years since the publication in 2015, including: significant increases to our structural and sequence coverage; expansion of the functional families in CATH; building a support vector machine (SVM) to automatically assign domains to superfamilies; improved search facilities to return alignments of query sequences against multiple sequence alignments; the redesign of the web pages and download site.
Indexed as
Identifiers
What OpenQuestion holds
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.