Author

E. Crampin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

M. Pan· 3 shared D. P. Nickerson· 2 shared K. Tran· 2 shared N. Shahidi· 2 shared V. Rajagopal· 2 shared A. Tilunaite· 1 shared C. Soeller· 1 shared D. Ladd· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioengineering

M. Pan

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Energy dependence of signalling dynamics and robustness in bacterial two component systems

J. E. Forrest, M. Pan, V. Rajagopal, E. Crampin, M. P. H. Stumpf

This paper models energy flow through two variants of bacterial two-component systems to show how energy availability affects signal sensitivity, noise filtering, and response thresholds.

bioRxiv · Feb 12, 2023 · PreprintBiophysics

SBML to bond graphs: from conversion to composition

N. Shahidi, M. Pan, K. Tran, E. Crampin, D. P. Nickerson

The paper presents a framework to convert SBML models into bond graphs to ensure physical plausibility and thermodynamic consistency in biochemical models.

bioRxiv · May 25, 2022Bioengineering

A semantics, energy-based approach to automate biomodel composition

N. Shahidi, M. Pan, K. Tran, E. Crampin, D. P. Nickerson

The paper proposes an automated method to compose biosimulation models using semantic annotations and bond graphs, demonstrating it by integrating Ras-MAPK and EGFR models.

bioRxiv · Nov 12, 2021Bioengineering

Detecting RyR clusters with CaCLEAN: influence of spatial distribution and structural heterogeneity

D. Ladd, A. Tilunaite, C. Soeller, H. L. Roderick, E. Crampin, V. Rajagopal

This paper evaluates the performance of the CaCLEAN algorithm in detecting RyR clusters using simulated calcium fluorescence imaging data, showing sensitivity to cluster density and depth.

bioRxiv · Apr 11, 2019Bioengineering