ReviewThe FEBS journal2020
Challenges in the annotation of pseudoenzymes in databases: the UniProtKB approach.
Review in The FEBS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Conserved regulatory modules and hub genes linking leaf transcriptomes to soybean seed weight.BMC plant biology · 2026Article
- Zoon0PredV: Potential Virus Species Crossover Prediction Using Convolutional Neural Networks and Viral Protein Sequence Patterns.Bioinformatics and biology insights · 2026Article
- Identification of protein-degraders in an anaerobic digester by protein stable isotope probing and metagenomics.Applied microbiology and biotechnology · 2025Article
- CLAIRE: a contrastive learning-based predictor for EC number of chemical reactions.Journal of cheminformatics · 2025Article
- Expression and immunological role of FUNDC2 in pan-cancer.PloS one · 2025Article
- Exploration the therapeutic effects of sodium houttuyfonate combined with penicillin G on methicillin resistantFrontiers in pharmacology · 2025Article
- Inactive metallopeptidase homologs: the secret lives of pseudopeptidases.Frontiers in molecular biosciences · 2024Review
- The pseudoenzyme ADPRHL1 affects cardiac function by regulating the ROCK pathway.Stem cell research & therapy · 2023Article
- Article
- Computational tools and resources for pseudokinase research.Methods in enzymology · 2022Review
- Systems Pharmacology-Based Identification of Mechanisms of Action of Bolbostemma paniculatum for the Treatment of Hepatocellular Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- UniProt: the universal protein knowledgebase in 2021.Nucleic acids research · 2021Article
- The pseudoGTPase group of pseudoenzymes.The FEBS journal · 2020Review
- Differential effects of 'resurrecting' Csp pseudoproteases during Clostridioides difficile spore germination.The Biochemical journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The universal protein knowledgebase (UniProtKB) collects and centralises functional information on proteins across a wide range of species. In addition to the functional information added to all protein entries, for enzymes, which represent 20-40% of most proteomes, UniProtKB provides additional information about Enzyme Commission classification, catalytic activity, cofactors, enzyme regulation, kinetics and pathways, all based on critical assessment of published experimental data. Computer-based analysis and structural data are used to enrich the annotation of the sequence through the identification of active sites and binding sites. While the annotation of enzymes is well-defined, the curation of pseudoenzymes in UniProtKB has highlighted some challenges: how to identify them, how to assess their lack of catalytic activity, how to annotate their lack of catalytic activity in a consistent way and how much can be inferred and propagated from experimental data obtained from other species. Through various examples, we illustrate some of these issues and discuss some of the changes we propose to enhance the annotation and discovery of pseudoenzymes. Ultimately, improving the curation of pseudoenzymes will provide the scientific community with a comprehensive resource for pseudoenzymes, which in turn will lead to a better understanding of the evolution of these molecules, the aetiology of related diseases and the development of drugs.
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.