A photo of Gary Mirams

Welcome to Gary Mirams’ research homepage.

I am part of the Centre for Mathematical Medicine & Biology (CMMB) in the School of Mathematical Sciences at the University of Nottingham (see contact details and my official university page).

My research is in mathematical biology, constructing mathematical and computational models to describe biological processes. We aim to explore and explain biological processes and provide predictions about the behaviour of biological systems. I’m particularly interested in how we choose equations, put parameter values in them, how we might design experiments for doing this better, and making sure we have software tools for doing these things more reliably.

See my publications page for recent papers, colleagues page for students and postdocs that I’m working with, and links page for details of safety pharmacology and cardiac electrophysiology web portals.

I have a cardiac modelling blog, and a general twitter account: . More information on various topics I am working on is below.

Drug-induced cardiac safety concerns

A video featuring our work on cardiac safety.

I am currently funded by the Wellcome Trust and Royal Society on a Sir Henry Dale Fellowship.

A Nature Reviews Drug Discovery news article and a Nature SciBx article contain some of my comments on the FDA’s recent proposed changes to drug-induced pro-arrhythmia testing.

I led an NC3Rs / EPSRC Strategic Award in Mathematics in Toxicology entitled “Prediction of human cardiotoxic QT prolongation using in vitro multiple ion channel data and mathematical models of cardiac myocytes”. This project was in collaboration with GlaxoSmithKline and AstraZeneca modelling and safety pharmacology departments, we investigated whether mathematical models can provide more accurate early predictions of novel compounds’ human clinical cardiac safety than existing preclinical animal-based tests. I worked with David Gavaghan, Blanca Rodriguez and Denis Noble.

I am also interested in different models of drug action, looking at where a simple conductance block model is appropriate, and cases where more detailed models of state-dependent, voltage-dependent and allosteric block are required. I am investigating which protocols suffice to fit which parameters in the ion-channel models, and where simplifications can be made.

A video summarising our work on the preDiCT project

In the past I have received funding from a GlaxoSmithKline Grants and Affiliates award to develop a simulation tool for prediction of drug-induced pro-arrhythmic risk, and to evaluate its predictive power. From 2008-2011 I worked on a European Commission project on “prediction of drug impact on cardiac toxicity” (PreDiCT), a video summarising some of the results can be seen on the right.

Our work on extending early pharmacological safety testing to better predict Torsadogenic risk has been published in Cardiovascular Research, and the codes used are available to download in an open-source format from the Chaste website.

As part of my research I am involved with the development of the Chaste computational biology environment along with members of the Computational Biology Group. I was also an associate fellow with the 2020 Science programme, developing new ways of performing computational science with UCL and Microsoft Research.

Other Interests

monoclonal conversion in a crypt.
Simulating monoclonal conversion using a model of a colorectal crypt

Colorectal crypt modelling

My PhD was based at the Centre for Mathematical Medicine and Biology, Nottingham University on the impact of Wnt signalling on colorectal cancer initiation. I worked with Helen Byrne and John King as part of the Integrative Biology Project. As part of this I was involved in the development of a novel multiscale crypt model which was used to study monoclonal conversion in the colorectal crypts. A link to my thesis can be found on my publications page.

Auxin signalling in Arabidopsis

In 2008 I worked with John King in Nottingham, and Stefan Kepinski in Leeds on modelling the auxin signalling pathway in Arabidopsis roots (see my publications page for a paper on this topic).