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.
Original language | English |
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Pages (from-to) | 3-28 |
Number of pages | 26 |
Journal | Journal of Global Optimization |
Volume | 83 |
Issue number | 1 |
DOIs | |
State | Published - May 2022 |
Externally published | Yes |
Keywords
- Linear programming relaxation
- NMR spectroscopy
- Resonance assignment problem
- Shortest path problem