| Literature DB >> 35528138 |
José F S Bravo-Ferreira1, David Cowburn2, Yuehaw Khoo3, Amit Singer4.
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.Entities:
Keywords: Linear programming relaxation; NMR spectroscopy; Resonance assignment problem; Shortest path problem
Year: 2021 PMID: 35528138 PMCID: PMC9070988 DOI: 10.1007/s10898-021-01004-3
Source DB: PubMed Journal: J Glob Optim ISSN: 0925-5001 Impact factor: 1.996