Cardiotoxicity: Supercomputer-based in silico studies by CompBioMed Core Partners aiming to make COVID-19 treatment safer for the heart
The use of certain drugs can disturb the rhythm at which hearts beat. This disruption can have toxic effects on the heart, which are particularly dangerous for those with underlying medical conditions. Two drugs which are known to have proarrhythmic effects are the antimalarial drugs azithromycin and hydroxychloroquine. Azithromycin and ...
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3-year PhD studentship in the simulation of chaotic systems
The Centre for Computational Science (CCS) of University College London (UCL) in collaboration with CBK Sci Con are offering a fully-funded studentship to a highly motivated candidate to start in September 2020. The studentship will cover tuition fees at UK/EU rate plus a maintenance stipend of £17,285 (tax free) per ...
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Repurposing Existing Drugs in the Fight Against COVID-19
The use of existing pharmaceutical to treat COVID-19 has several potential benefits over the development of new drugs from the group up, not least that much shorter clinical trials would be needed and production on industrial scales has already been realised in many cases. Andrew Potterton, a PhD student at ...
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Coronavirus Resources Across CompBioMed
Here at CoronaBlog, where we will be providing regular news and updates on the research activities of the CompBioMed members, their collaborators, and the wider scientific community, we have established several other resources to provide information and aid in the COVID-19 research efforts: CompBioMed and Coronavirus provides an overview of the ...
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Webinar on how AI in Computational Medicine is Leading The Charge in COVID-19 Drug Discovery
There are tens, perhaps hundreds of billions of compounds which can be utilised by the pharmaceutical industry in the development of new drugs. An exhaustive exploration of more than a handful experimentally is impossible, modern computational techniques are however now beginning to lead the way. Quantum Chemical calculations run on ...
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Introducing the CoronaBlog
The ongoing coronavirus pandemic is having a profound impact on how we go about our day to day lives and is dominating world news and conversation (conducted from the recommended social distances, or preferably via video chat or social media). Since the outbreak was identified in Hubei Province, China in ...
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CompBioMed and Coronavirus
CompBioMed is active in a vast international consortium across Europe and USA working on urgent coronavirus research. Heading CompBioMed’s efforts in this collaboration is Prof Peter Coveney and the Centre for Computational Science (CCS) at University College London (UCL), together with Leibniz Rechenzentrum (LRZ) and Gauss Centre for Supercomputing (GCS) ...
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Toward the first full scale virtual human simulation at the exascale.
A major effort is now underway to perform the first full scale 3-D high fidelity simulations of blood flow in the human vasculature. Led by Peter Coveney within his Centre for Computational Science (CCS) at University College London (UCL), this major, large scale team endeavour, involves colleagues and collaborators from ...
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POP and CompBioMed Collaboration on HemeLB assessment
The CompBioMed code HemeLB, developed at UCL was assessed by the POP Centre of Excellence to determine scaling ability of the code on SuperMUC-NG at LRZ. Peter Coveney and Jon McCullough at UCL worked with Brian Wylie at Jülich Supercomputing Centre to enable this assessment. This audit examined strong scaling ...
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New opening: Research Fellow in Virtual Human Blood Flow Simulation
Applications are invited for a Research Fellow to work with Professor Peter Coveney in the Department of Chemistry at University College London. The successful candidate will join a very active inter-disciplinary group in the Centre for Computational Science, and will work on the development and deployment of medical and clinical ...
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