NMR Assignment through Linear Programming
August 09, 2020 Β· Declared Dead Β· π Journal of Global Optimization
"No code URL or promise found in abstract"
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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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