activity
20152018
most citedHierarchical Bond Graph Modelling of Biochemical Networks

56 citations · 91 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2018★ 1 cited

Reference environments: A universal tool for reproducibility in computational biology

Daniel G. Hurley, Joseph Cursons, Matthew Faria +3

The drive for reproducibility in the computational sciences has provoked discussion and effort across a broad range of perspectives: technological, legislative/policy, education, a…

q-bio.BM2018★ 3 cited

A thermodynamic framework for modelling membrane transporters

Michael Pan, Peter J. Gawthrop, Kenneth Tran +2

Membrane transporters contribute to the regulation of the internal environment of cells by translocating substrates across cell membranes. Like all physical systems, the behaviour…

q-bio.SC2018★ 24 cited

Bond graph modelling of the cardiac action potential: Implications for drift and non-unique steady states

Michael Pan, Peter J. Gawthrop, Kenneth Tran +2

Mathematical models of cardiac action potentials have become increasingly important in the study of heart disease and pharmacology, but concerns linger over their robustness during…

q-bio.BM2017★ 7 cited

The cardiac Na/K ATPase: An updated, thermodynamically consistent model

Michael Pan, Peter J. Gawthrop, Joseph Cursons +2

The Na/K ATPase is an essential component of cardiac electrophysiology, maintaining physiological Na and K concentrations over successive heart beats. Terkildsen et…

q-bio.MN2015★ 56 cited

Hierarchical Bond Graph Modelling of Biochemical Networks

Peter J. Gawthrop, Joseph Cursons, Edmund J. Crampin

The bond graph approach to modelling biochemical networks is extended to allow hierarchical construction of complex models from simpler components. This is made possible by represe…