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Related Experiment Video

Updated: May 21, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

How to use the IUPHAR receptor database to navigate pharmacological data.

Chidochangu P Mpamhanga¹, Joanna L Sharman, Anthony J Harmar

¹University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.

Methods in Molecular Biology (Clifton, N.J.)

|June 8, 2012

Summary

The International Union of Basic and Clinical Pharmacology Database (IUPHAR-DB) offers expert-curated data on receptors and ion channels. This resource aids scientists in tracking experimental techniques and ligand information for interdisciplinary research.

Related Experiment Videos

Last Updated: May 21, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Area of Science:

Pharmacology
Bioinformatics
Molecular Biology

Background:

Modern scientific research is increasingly data-intensive and interdisciplinary.
Keeping abreast of experimental techniques and tools reported in scientific literature presents a significant challenge for researchers.
A centralized, reliable resource is needed to consolidate pharmacological information.

Purpose of the Study:

To introduce the International Union of Basic and Clinical Pharmacology Database (IUPHAR-DB) as a solution for accessing curated pharmacological data.
To highlight the database's role in disseminating nomenclature recommendations from the IUPHAR Nomenclature Committee (NC-IUPHAR).
To demonstrate how IUPHAR-DB facilitates the documentation of receptor/ion channel properties and associated ligands.

Main Methods:

Expert curation of information sourced directly from primary scientific literature.
Development of a user-friendly online platform for data accessibility.
Integration of nomenclature recommendations and experimental data.

Main Results:

IUPHAR-DB provides a comprehensive, expertly curated online repository of pharmacological information.
The database facilitates access to nomenclature recommendations for receptors and ion channels.
It documents receptor properties and ligands crucial for characterization.

Conclusions:

IUPHAR-DB addresses the need for accessible, curated scientific data in pharmacology.
The database serves as a vital tool for researchers navigating complex, interdisciplinary studies.
IUPHAR-DB is freely available online, promoting wider scientific collaboration and knowledge dissemination.