Academic Users

For academic visitors to our website, we provide on this page selected CompBioMed links and services of particular interest to you. Please check out the links on the column to the right, and stay tuned for more content. If you are interested in working more closely with us or visiting one of our partners for a collaboration, check out our Visitor Programme page for more information

In silico heart assays on High Performance Computing

Before new medicines reach patients several tests are done to detect possible risks and side effects. This is the reason why drugs are tested on millions of animals worldwide each year. But this landscape is changing: research shows computer simulations of the heart have the potential to improve the drug development process and to reduce the need for animal testing.
Drug development requires a long and costly pipeline, where the drug is tested in a gradually more realistic setting (i.e. the experimental model), where animals are the last step before human volunteers. The challenge is to identify the correct threads for human health, and not to miss the potential risk or value of a drug for example due to the differences between animals and humans.

In silico human models

The revolutionary idea is to test a new drug in a “virtual human” organ, an experimental model entirely built on the circuits of a computer (i.e. in-silico). Recent research by the Computational Cardiovascular Science team at the University of Oxford demonstrates that computational models representing human heart cells show higher accuracy (89-96%) than animal models in predicting adverse drug effects such as dangerous arrhythmias – where the heart beat becomes irregular and can stop.

This research has recently been awarded with the International 3Rs Prize (from the National Centre for the Replacement Refinement and Reduction of Animals in Research) because of its potential to replace animal testing in labs. Instead of a one-model-fits-all method, the team uses an approach that simulates a wide range of responses under several conditions tested against experimental data. Everyone is different, and some drugs can have harmful side effects only for certain parts of the population, such as people with a specific genetic mutation or disease. This research also won the Technological Innovation Award at the Safety Pharmacology Society Meeting 2017.

This technology has been incorporated into a software, dubbed Virtual Assay, which is easy for non-experts to use in modelling and simulations. The software offers a simple user interface in which a control population of healthy cardiac cells with specific properties, based on human data, can be built. It can then be used to run in silico drug trials, before analysing the results. The whole process is very quick: it takes under five minutes using a modern laptop to test one drug in a population of 100 human cardiac cell models.

This research is part of a wider move towards the integration of computer models for drug safety testing which includes the Comprehensive in vitro Proarrhythmia Assay initiative, promoted by the US Food and Drug Administration and other organisations. The availability of high performance computing creates the possibility of running experiments with an unprecedented power, accounting for all the variability observed in the population and key related factors.

Pushing computer science boundaries

As part of the CompBioMed project we’re now working on 3D simulations of the heart to explore drug cardiac safety and efficacy on a larger scale. It also includes an exploration of diseased conditions, such as acute ischemia – where the blood flow in one of the arteries around the heart is obstructed. But while simulations of heart cells can run in a few minutes, 3D computer models of the whole heart still require a huge amount of computational power. The simulation of one heartbeat, for example, can take about three hours in a supercomputer with almost 1,000 processors.

The CCS team at the University of Oxford and the Barcelona Supercomputing Center have been awarded a PRACE Project Access on “In silico drug trials in the beating ischaemic human heart”, 2018-2020. This research is going to focus on developing a human electro-mechanical model of the heart using High Performance Computing (HPC) on the Marenostrum supercomputer. The project will conduct a proof of concept of a limited numbers of compounds and we will expand the investigations to consider a comprehensive list of medicines, building on the large datasets from our pharmaceutical industry collaborators. These models will be used to unravel key factors determining abnormalities caused by ischaemic disease and pharmacological therapy. Clinical imaging and electro-physiological dataset will be integrated to construct patient-specific anatomically –based electro-mechanical models of ischaemic human hearts, requiring tons of millions of nodes due to numerical constraints.

This research is part of a bigger movement towards the use of the virtual human and is being supported by the CompBioMed European project, an NC3Rs Infrastructure for Impact award, the TransQST European project, the PRACE project, an ARCHER project and the PIC project.


More examples of academic users:

  • Postdoctoral position available at University of Sheffield for CompBioMed2 - Are you interested in developing research software and facilitating reproducible research through collaborations across the whole spectrum of University research areas? We are looking for a new member of the growing Research Software Engineering (RSE) team, who ideally has a keen interest in HPC and cloud computing. The candidate will be highly passionate about developing…
  • Postdoc Position at Universidad Carlos III de Madrid - The CFD Lab ( invites applications to one Postdoctoral position in the fi eld of cardiovascular fluid dynamics, to work on a collaborative project with the Hospital General Universitario Gregorio Marañón and the University of California San Diego. Candidate pro le: A PhD in Engineering and some experience in Computational Fluid Dynamics is required. Ideal candidates will…
  • Central Incubator Registry - Compbiomed has complied this Central Incubator Registry which lists EU innovation incubators and accelerators. This Register arose from a task designed to support the exploitation of results of commercial potential, and we act as a focal point for connecting parties where this exploitation might benefit from support for commercialisation activities. This Register is freely available…
  • Summit Node Hour Allocation Awarded to UCL - The Centre for Computational Science at UCL has been awarded an allocation of 25,000 Summit node hours through 31 July 2019. This is the equivalent, to about 15 million core hours on Titan, the former number one in the Top 500 list of supercomputers, which we have been working on for over a year. The…
  • CompBioMed paper published on Ensemble-Based Replica Exchange Alchemical Free Energy Methods - Ensemble-Based Replica Exchange Alchemical Free Energy Methods: The Effect of Protein Mutations on Inhibitor Binding Agastya P. Bhati, Shunzhou Wan, and Peter V. Coveney Journal of Chemical Theory and Computation (2018) DOI: 10.1021/acs.jctc.8b01118 Mutations enable proteins to tailor molecular recognition with small-molecule ligands and other macromolecules, and can have a major impact on drug efficacy.…