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Related Concept Videos

G Protein-coupled Receptors01:15

G Protein-coupled Receptors

G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
G Protein-coupled Receptors01:15

G Protein-coupled Receptors

G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
Transducer Mechanism: G Protein–Coupled Receptors01:30

Transducer Mechanism: G Protein–Coupled Receptors

G Protein–Coupled Receptors (GPCRs) are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to various stimuli. GPCRs regulate critical physiological pathways and are excellent drug targets for treating diseases such as diabetes, cancer, obesity, depression, or Alzheimer's. Nearly 35% of approved drugs implement their therapeutic effects by selectively interacting with specific GPCRs.
GPCRs are also called heptahelical, 7TM, or...
G-protein Coupled Receptors01:21

G-protein Coupled Receptors

G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
G-protein Coupled Receptors01:21

G-protein Coupled Receptors

G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
GPCRs Regulate Adenylyl Cylase Activity01:09

GPCRs Regulate Adenylyl Cylase Activity

Some GPCRs transmit signals through adenylyl cyclase (AC), a transmembrane enzyme. AC helps synthesize second messenger cyclic adenosine monophosphate (cAMP). AC catalyzes cyclization reaction and converts ATP to cAMP by releasing a pyrophosphate. The pyrophosphate is further hydrolyzed to phosphate by the enzyme pyrophosphatase, which drives cAMP synthesis to completion. However, cAMP is rapidly degraded to 5′ AMP by the enzymes phosphodiesterase (PDE), preventing overstimulation of cells.
Two...

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Related Experiment Video

Updated: Jul 2, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

GPCRTree: online hierarchical classification of GPCR function.

Matthew N Davies1, Andrew Secker, Mark Halling-Brown

  • 1The Jenner Institute, University of Oxford, Compton, Newbury, Berkshire, RG20 7NN, UK. m.davies@mail.cryst.bbk.ac.uk

BMC Research Notes
|August 23, 2008
PubMed
Summary
This summary is machine-generated.

GPCRTree accurately classifies G protein-coupled receptors (GPCRs) using an alignment-free method based on physical properties. This computational tool offers superior accuracy for GPCR functional prediction compared to existing servers.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Drug discovery

Background:

  • G protein-coupled receptors (GPCRs) are crucial for cellular signaling and are targets for approximately 50% of marketed drugs.
  • Predicting GPCR function from primary sequence is of significant interest for drug development.

Purpose of the Study:

  • To develop an accurate and efficient method for classifying G protein-coupled receptors (GPCRs) based on their amino acid sequences.
  • To create a publicly accessible tool for GPCR classification.

Main Methods:

  • Utilized data mining and proteochemometrics techniques for an alignment-free approach.
  • Developed a classification algorithm using a simple representation of protein physical properties.
  • Implemented the algorithm in a publicly available internet server called GPCRTree.

Main Results:

  • GPCRTree classifies GPCRs at the class, sub-family, and sub-subfamily levels.
  • The developed classifier is selective and assigns sequences within a GPCR hierarchy.
  • GPCRTree demonstrates considerably higher accuracy across all classification levels compared to other available GPCR prediction servers.

Conclusions:

  • A novel, selective, top-down classifier for GPCRs was successfully developed.
  • GPCRTree provides a highly accurate and accessible platform for GPCR functional prediction.
  • The GPCRTree server has been available online since March 2008.