NMR Assignment through Linear Programming

August 09, 2020 Β· Declared Dead Β· πŸ› Journal of Global Optimization

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Authors Jose F. S. Bravo-Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer arXiv ID 2008.03641 Category cs.AI: Artificial Intelligence Cross-listed math.OC, physics.bio-ph Citations 1 Venue Journal of Global Optimization Last Checked 4 months ago
Abstract
Nuclear Magnetic Resonance (NMR) Spectroscopy is the second most used technique (after X-ray crystallography) for structural determination of proteins. A computational challenge in this technique involves solving a discrete optimization problem that assigns the resonance frequency to each atom in the protein. This paper introduces LIAN (LInear programming Assignment for NMR), a novel linear programming formulation of the problem which yields state-of-the-art results in simulated and experimental datasets.
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