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Quantum Computing:
The Key to Unlocking the Future The largest supercomputers that solve the world’s most difficult problems are power hungry. And
Home » HPC in Drug Discovery
High-Performance Computing (HPC) has emerged as a transformative tool, enabling researchers to tackle complex problems and accelerate the pace of discovery.
HPC allows researchers to run complex simulations that model biological processes at the molecular level. For example, molecular dynamics simulations can help understand how drugs interact with their target molecules, providing insights into drug efficacy and potential side effects.
Modern research often involves vast amounts of data. HPC provides the computational muscle to analyse these datasets efficiently, uncovering hidden patterns and relationships.
HPC empowers researchers to perform faster and more comprehensive drug simulations, leading to quicker development of lifesaving treatments.
Medical research generates vast amounts of data, including genetic sequences, imaging data, patient records, and clinical trial results. HPC provides the computational muscle to analyse these datasets efficiently, uncovering hidden patterns and relationships.
HPC enables virtual screening of large compound libraries to identify potential drug candidates. Researchers can identify compounds for further experimentation by simulating the interaction between small molecules and biological target. This in turn can help accelerate drug discovery.
Personalised treatment can be developed by using HPC to analyse large-scale genomic data for genetic variations associated with various diseases and drug responses.
HPC can be used to identify new ways existing drugs can be used or adapted for other diseases. By analysing large databases of drug compounds and their biological effects, researchers can identify potential candidates for further investigation, saving time and resources developing new drugs from scratch.
Advanced image processing of MRI, CT and PET Scans can accelerate or help facilitate the identification of biomarkers, the detection of diseases at earlier stages, and the monitoring of disease progression and treatment response.
Improved collaboration between research institutions and geographies can be achieved by enabling data sharing and analysis using HPC systems.
In today’s research landscape, High-Performance Computing (HPC) is no longer a luxury, it’s a necessity. It empowers scientists to tackle complex problems, analyse vast datasets and simulate intricate systems – all at unprecedented speeds. By harnessing the power of HPC, researchers can make significant advancements in fields like genomics, climate modelling and drug discovery. Unlike traditional computing methods, HPC’s unparalleled processing powers allows for deeper insights and faster results, providing a critical edge in solving the most challenging scientific questions. HPC is the engine that is propelling us towards a future brimming with scientific breakthroughs.”
Owen Thomas,
Senior Partner, Red Oak Consulting
The University of Hull sought an HPC solution to maximise on its potential for research advancement. Graeme Murphy, Head of Research and Enterprise for ICT at Hull, engaged Red Oak Consulting to ensure the technical proficiency, risk mitigation, and future-proofing of their HPC investment.
The results:
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