Tag: SDG 3
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Quantum Pangenomics
Owner Quantum Approach Optimisation SDGs Contributors University of Cambridge University of Oxford Wellcome Sanger Institute European Bioinformatics Institute | EMBL-EBI Kyiv Academic University Origins of Contributors How quantum could help Complex problems such as genome assembly and the construction of phylogenetic trees could be optimised in a hybrid quantum-classical framework, enabling promising quantum speedups with…
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Quantum computing for covalent inhibitors in drug discovery
Owner Quantum Approach Quantum Simulation SDGs Contributors University of Nottingham Phasecraft QuEra Computing Inc. Origins of Contributors How quantum could help Myotonic dystrophy is a genetic condition that causes progressive muscle weakness and wasting. It is the most frequent form of muscular dystrophy in adults worldwide, with an estimated 6,500 people affected in the UK.…
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Quantum Computing for Photon-Drug Interactions in Cancer Prevention and Treatment
Owner Quantum Approach Quantum Simulation SDGs Contributors lgorithmiq Cleveland Clinic IBM Origins of Contributors How quantum could help Photodynamic therapy (PDT) is a promising cancer treatment that uses light-activated photosensitisers, but designing new drugs for this requires modeling complex excited-state processes, which is a known computationally intensive task and which classical computing falls short of.…
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Quantum Biomarker Algorithms for Multimodal Cancer Data
Owner Quantum Approach Optimisation SDGs Contributors Infleqtion University of Chicago Massachusetts Institute of Technology Origins of Contributors How quantum could help Quantum computing could be used to potentially enhance data processing for multi-modal cancer data, specifically when dealing with complex relationships between genomic, transcriptomic, and pathomic aspects of cancer biology. A hybrid quantum-classical algorithm could…
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Molecular Recognition from Quantum Computing
Owner Quantum Approach Quantum Simulation SDGs Contributors University of Copenhagen Massachusetts Institute of Technology ETH Zurich Novo Norddisk A/S Origins of Contributors How quantum could help Accurately calculating molecular interactions is essential for drug discovery but remains a significant computational challenge, especially at the interaction seam where drug and target molecules meet. FreeQuantum is a…
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Quantum Computing for hydrolysis reactions in protein environments
Owner Quantum Approach Quantum Simulation SDGs Contributors Stanford University Virginia Tech Brown University University of Colorado Boulder Michigan State University Lawrence Berkeley National Laboratory Azulene Labs NASA University of Illinois Urbana-Champaign RIACS New York University Origins of Contributors How quantum could help ATP and GTP are main metabolic reactions that drive cellular function, where metabolic…
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Protein Structure Prediction Using the Face-Centered Cubic Lattice
Owner Quantum Approach Optimisation SDGs Contributors Cleveland Clinic IBM Quantum Origins of Contributors How quantum could help Predicting hydration sites within buried protein pockets is a complex but essential task for accurate simulations in structure-based drug discovery. Specifically, water molecules can significantly influence how a target protein interacts with a ligand, and inadequate modeling of…
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Protein Solvation Pipeline
Owner Quantum Simulation Quantum Approach SDGs Contributors Pasqal Qubit Pharamceuticals Unitary Foundation Origins of Contributors How quantum could help Predicting hydration sites within buried protein pockets is a complex but essential task for accurate simulations in structure-based drug discovery. Specifically, water molecules can significantly influence how a target protein interacts with a ligand, and inadequate…