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Publications

A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling

Sher AA. et al, (2012), Future Generation Computer Systems

Is it time for in silico simulation of drug cardiac side effects?

Mirams GR. and Noble D., (2011), Ann N Y Acad Sci, 1245, 44 - 47

Mechanoelectrical factors in M-cell debate

Nattel S. et al, (2011), HEART RHYTHM, 8, E2 - E2

Scale Relativity: An Extended Paradigm for Physics and Biology?

Auffray C. and Noble D., (2011), Foundations of Science, 16, 303 - 305

Successes and failures in modeling heart cell electrophysiology.

Noble D., (2011), Heart Rhythm, 8, 1798 - 1803

Considerations for the use of cellular electrophysiology models within cardiac tissue simulations.

Cooper J. et al, (2011), Prog Biophys Mol Biol, 107, 74 - 80

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.

Quinn TA. et al, (2011), Prog Biophys Mol Biol, 107, 4 - 10

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): Standardised reporting for model reproducibility, interoperability, and data sharing

Quinn TA. et al, (2011), Progress in Biophysics and Molecular Biology, 107, 4 - 10

Ca <sup>2+</sup> -induced delayed afterdepolarizations are triggered by dyadic subspace Ca <sup>2+</sup> affirming that increasing SERCA reduces aftercontractions

Fink M. et al, (2011), American Journal of Physiology - Heart and Circulatory Physiology, 301

Ca²⁺-induced delayed afterdepolarizations are triggered by dyadic subspace Ca2²⁺ affirming that increasing SERCA reduces aftercontractions.

Fink M. et al, (2011), Am J Physiol Heart Circ Physiol, 301, H921 - H935

New index for categorising cardiac reentrant wave: in silico evaluation.

Shim EB. et al, (2011), IET Syst Biol, 5, 317 - 323

Resolving the M-cell debate: why and how.

Nattel S. et al, (2011), Heart Rhythm, 8, 1293 - 1295

Systems biology and cancer.

Soto AM. et al, (2011), Prog Biophys Mol Biol, 106, 337 - 339

Systems medicine and integrated care to combat chronic noncommunicable diseases.

Bousquet J. et al, (2011), Genome Med, 3

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.

Mirams GR. et al, (2011), Cardiovasc Res, 91, 53 - 61

Novel approaches to assessing cardiac safety--proceedings of a workshop: regulators, industry and academia discuss the future of in silico cardiac modelling to predict the proarrhythmic safety of drugs.

Fletcher K. et al, (2011), Drug Saf, 34, 439 - 443

The aims of systems biology: between molecules and organisms.

Noble D., (2011), Pharmacopsychiatry, 44 Suppl 1, S9 - S14

Neo-Darwinism, the modern synthesis and selfish genes: are they of use in physiology?

Noble D., (2011), J Physiol, 589, 1007 - 1015

Differential and integral views of genetics in computational systems biology.

Noble D., (2011), Interface Focus, 1, 7 - 15

Considerations for the use of cellular electrophysiology models within cardiac tissue simulations

Cooper J. et al, (2011), Progress in Biophysics and Molecular Biology

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