GPCR ontology: development and application of a G protein-coupled receptor pharmacology knowledge framework.

Bioinformatics

Center for Computational Science, University of Miami, Miami, FL 33136, USA and Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.

Published: December 2013

Motivation: Novel tools need to be developed to help scientists analyze large amounts of available screening data with the goal to identify entry points for the development of novel chemical probes and drugs. As the largest class of drug targets, G protein-coupled receptors (GPCRs) remain of particular interest and are pursued by numerous academic and industrial research projects.

Results: We report the first GPCR ontology to facilitate integration and aggregation of GPCR-targeting drugs and demonstrate its application to classify and analyze a large subset of the PubChem database. The GPCR ontology, based on previously reported BioAssay Ontology, depicts available pharmacological, biochemical and physiological profiles of GPCRs and their ligands. The novelty of the GPCR ontology lies in the use of diverse experimental datasets linked by a model to formally define these concepts. Using a reasoning system, GPCR ontology offers potential for knowledge-based classification of individuals (such as small molecules) as a function of the data.

Availability: The GPCR ontology is available at http://www.bioassayontology.org/bao_gpcr and the National Center for Biomedical Ontologies Web site.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842764PMC
http://dx.doi.org/10.1093/bioinformatics/btt565DOI Listing

Publication Analysis

Top Keywords

gpcr ontology
24
analyze large
8
gpcr
6
ontology
6
ontology development
4
development application
4
application protein-coupled
4
protein-coupled receptor
4
receptor pharmacology
4
pharmacology knowledge
4

Similar Publications

G Protein-Coupled Receptors (GPCRs) are integral membrane proteins that have gained considerable attention as drug targets, particularly in cancer treatment. In this study, we explored the capacity of bioactive compounds derived from Gnetum gnemon (GG) for the development of of pharmaceuticals targeting GPCRs within the context of cancer therapy. Integrated approach combined network pharmacology and molecular docking to identify and validate the underlying pharmacological mechanisms.

View Article and Find Full Text PDF
Article Synopsis
  • Asthma has two main types, T2 high and low, influenced by dendritic cells (DCs) and their autophagy levels, with enhanced autophagy promoting Th2 and reduced autophagy leading to Th17 differentiation.
  • Researchers analyzed gene expression data to identify differentially expressed genes (DEGs) in two types of DCs after exposure to allergens, employing various bioinformatics tools to understand the genes involved in asthma regulation.
  • The study found significant gene expression changes, identifying 35 hub genes, particularly noting the gene Gngt2, which was elevated in a low asthma model but did not differ significantly in high asthma conditions compared to controls.
View Article and Find Full Text PDF
Article Synopsis
  • Pulmonary hypertension (PH) affects about 1% of the population, has a poor prognosis despite treatment, and the mechanisms involved in its progression and drug action are not fully understood.
  • Using graph-powered knowledge mining and a small patient metabolite dataset, researchers derived insights into PH's pathophysiology and the functionality of related clinical drugs.
  • Key findings reveal that specific metabolites are altered in PH patients, and critical signaling pathways—including G-protein, IL6, activin, and BMP signaling—play significant roles in the disease, with implications for current and potential treatments like sotatercept affecting multiple important molecular pathways.
View Article and Find Full Text PDF

Background: Prior research has shown that granulin precursor (GRN, also termed PGRN) is closely linked to aphasia. However, there has been little research on the mechanism of action of GRN in post-stroke aphasia (PSA).

Methods: In this study, RT-qPCR was used to identify variations in gene expression, while RNA sequencing (RNA-seq) was utilized to acquire transcriptional profiles.

View Article and Find Full Text PDF

Signaling Transduction Pathways and G-Protein-Coupled Receptors in Different Stages of the Embryonic Diapause Termination Process in .

Curr Issues Mol Biol

April 2024

Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin 300387, China.

is a widely distributed small aquatic crustacean, renowned for its ability to enter a state of embryonic diapause. The embryonic diapause termination (EDT) is closely linked to environmental cues, but the precise underlying mechanisms remain elusive. In this study, ATAC-seq and RNA-seq sequencing techniques were employed to explore the gene expression profiles in cysts 30 min after EDT.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!