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Tag Archives: parameter fitting
2024-2025 Postdoctoral Research Positions – Applications closed
Edit: Jan 2024 – applications for these positions are now closed We are looking for new members to join our Wellcome-funded team of cardiac electrophysiology modellers, to develop mathematical models of ion channel currents and cardiac cells for assessing the … Continue reading
Posted in jobs
Tagged Cardiac electrophysiology, Drug safety, ion channel, job, model construction, parameter fitting
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Postdoctoral Research Fellow positions available in our team (recruitment now closed)
We are looking for new members to join a Wellcome-funded team of cardiac electrophysiology modellers, to develop mathematical models of ion channel currents and cardiac cells for assessing the safety of new pharmaceutical drugs. Continue reading
Job Available: Statistical inference for mechanistic models
N.B. Applications for this position are now closed. We are offering a 3 year position as a research fellow in statistical inference for mechanistic models. This is offered at either Postdoc or Senior postdoc level (equivalent grade to Assistant Professor) … Continue reading
Posted in Action Potential Models, Drug action, Experimental Design, Ion Channel Models, Model Development, Numerics, Stats and Inference
Tagged Bayesian Inference, calibration, identifiability, inference, inverse problem, job, jobs, model complexity, model construction, model discrepancy, model selection, parameter fitting, validation
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Three potassium channel modelling papers
Just a quick note to tell you about our latest batch of papers in the “Heart By Numbers” special issue of Biophysical Journal which arose from a meeting in Berlin last year. They are all about IKr, the rapid-delayed rectifying … Continue reading
Short and rich voltage-clamp protocols
This is a quick post to tell you all about Kylie’s new paper on sinusoidal-wave based voltage clamp protocols that has been published in the Journal of Physiology, and there’s an associated commentary from Ele Grandi. In the paper, some … Continue reading
Posted in Experimental Design, Future developments, Ion Channel Models, Model Development, Stats and Inference
Tagged Bayesian Inference, Cardiac electrophysiology, hERG, identifiability, IKr, inference, inverse problem, ion channel, model, model construction, parameter fitting, parameterisation, validation
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Uncertainty quantification for ion channel screening and risk prediction
This post accompanies our new paper in Wellcome Open Research. Regular readers of this blog will know that I worry about uncertainty in the numbers we are using to model drug action on electrophysiology quite a lot – see our … Continue reading
Ablation, scars and insights from parameter lumping
This is quite a long post elaborating on a bit of work I’ve been doing with Greg Morley and his group, which was published in Scientific Reports. I hope it provides an accessible introduction to a fairly complicated set of experiments … Continue reading
Should I work with IC50s or pIC50s?
When you are expressing how much a drug inhibits something, it’s common to fit a Hill curve through a graph of concentration against % inhibition as shown here: In our case this is often ‘% inhibition’ for a given ionic … Continue reading
Model Complexity
We’ve been thinking about how to parameterise/train/calibrate models, and also how to select an appropriate model to begin with. This raises all sorts of interesting questions on the details, but this post is just about setting out a big overview … Continue reading
If computational biologists did astronomy…
Here is a cheeky post along the lines of Can a biologist fix a radio? (well worth a read). The discovery that Pluto wasn’t the size we expected got me thinking about how we would have tackled it. So in … Continue reading
Posted in Action Potential Models, Silly, Stats and Inference
Tagged identifiability, model complexity, parameter fitting, sensitivity
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