ArticleNucleic acids research2009
IUPHAR-DB: the IUPHAR database of G protein-coupled receptors and ion channels.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 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
108 citing papers in PubMed.
- Robust identification of cell-cell communication heterogeneity in single cells.bioRxiv : the preprint server for biology · 2026Article
- ActivityFinder: Toward the Fully Automatic Integration of Structural and Binding Affinity Data.Journal of chemical information and modeling · 2026Article
- Dynamic-GLEP: a dynamics-informed deep learning framework for ligand efficacy prediction in representative Class A GPCRs.Briefings in bioinformatics · 2026Article
- The IUPHAR/BPS Guide to PHARMACOLOGY in 2026.Nucleic acids research · 2026Article
- In vivo antiparasitic activity of biogenic Iron nanoparticles on ectoparasitic branchiuran, Argulus siamensis in Labeo rohita and effect on parasite ion channel genes.BMC veterinary research · 2025Article
- The IUPHAR/BPS Guide to PHARMACOLOGY in 2024.Nucleic acids research · 2024Article
- A Robust Drug-Target Interaction Prediction Framework with Capsule Network and Transfer Learning.International journal of molecular sciences · 2023Article
- An activator of voltage-gated KProceedings of the National Academy of Sciences of the United States of America · 2023Article
- exFINDER: identify external communication signals using single-cell transcriptomics data.Nucleic acids research · 2023Article
- Biomedical Relation Extraction Using Dependency Graph and Decoder-Enhanced Transformer Model.Bioengineering (Basel, Switzerland) · 2023Article
- Chemokine Receptors-Structure-Based Virtual Screening Assisted by Machine Learning.Pharmaceutics · 2023Article
- Conservation of Allosteric Ligand Binding Sites in G-Protein Coupled Receptors.Journal of chemical information and modeling · 2022Article
- TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction.BMC bioinformatics · 2022Article
- The Hippo pathway in cancer: YAP/TAZ and TEAD as therapeutic targets in cancer.Clinical science (London, England : 1979) · 2022Review
- The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials.Nucleic acids research · 2022Article
- Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.Frontiers in immunology · 2022Review
- The role of dopamine receptors in lymphocytes and their changes in schizophrenia.Brain, behavior, & immunity - health · 2021Review
- Article
- KInternational journal of molecular sciences · 2020Review
- Review
48 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
26 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The IUPHAR database (IUPHAR-DB) integrates peer-reviewed pharmacological, chemical, genetic, functional and anatomical information on the 354 nonsensory G protein-coupled receptors (GPCRs), 71 ligand-gated ion channel subunits and 141 voltage-gated-like ion channel subunits encoded by the human, rat and mouse genomes. These genes represent the targets of approximately one-third of currently approved drugs and are a major focus of drug discovery and development programs in the pharmaceutical industry. IUPHAR-DB provides a comprehensive description of the genes and their functions, with information on protein structure and interactions, ligands, expression patterns, signaling mechanisms, functional assays and biologically important receptor variants (e.g. single nucleotide polymorphisms and splice variants). In addition, the phenotypes resulting from altered gene expression (e.g. in genetically altered animals or in human genetic disorders) are described. The content of the database is peer reviewed by members of the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR); the data are provided through manual curation of the primary literature by a network of over 60 subcommittees of NC-IUPHAR. Links to other bioinformatics resources, such as NCBI, Uniprot, HGNC and the rat and mouse genome databases are provided. IUPHAR-DB is freely available at http://www.iuphar-db.org.
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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.