All Outputs (3)

Modelling of the activation of G-protein coupled receptors: Drug free constitutive receptor activity (2010)
Journal Article
Woodroffe, P. J., Bridge, L., King, J. R., Chen, C. Y., & Hill, S. J. (2010). Modelling of the activation of G-protein coupled receptors: Drug free constitutive receptor activity. Journal of Mathematical Biology, 60(3), 313-346. https://doi.org/10.1007/s00285-009-0268-5

G-protein coupled receptors (GPCRs) form a crucial component of approximately 80% of hormone pathways. In this paper, the most popular mechanism for activation of GPCRs-the shuttling mechanism-is modelled mathematically. An asymptotic analysis of thi... Read More about Modelling of the activation of G-protein coupled receptors: Drug free constitutive receptor activity.

Mathematical modelling of signalling in a two-ligand G-protein coupled receptor system: Agonist-antagonist competition (2010)
Journal Article
Bridge, L., King, J. R., Hill, S. J., & Owen, M. R. (2010). Mathematical modelling of signalling in a two-ligand G-protein coupled receptor system: Agonist-antagonist competition. Mathematical Biosciences, 223(2), 115-132. https://doi.org/10.1016/j.mbs.2009.11.005

A new mathematical model of cell signalling for a two-ligand G-protein coupled receptor (GPCR) system is presented. This model extends the single-ligand cubic ternary complex to account for the possibility of an agonist and an antagonist competing fo... Read More about Mathematical modelling of signalling in a two-ligand G-protein coupled receptor system: Agonist-antagonist competition.

Modeling and simulation of inverse agonism dynamics (2010)
Book Chapter
Bridge, L. (2010). Modeling and simulation of inverse agonism dynamics. In Constitutive Activity in Receptors and Other Proteins, Part B (559-582). Elsevier. https://doi.org/10.1016/B978-0-12-381296-4.00029-4

With the recent discovery and increased recognition of constitutive activity of G-protein coupled receptors (GPCRs) and inverse agonists have come a number of important questions. The signaling mechanisms underlying inverse agonist effects on constit... Read More about Modeling and simulation of inverse agonism dynamics.