4.5 Article

NMR assignment through linear programming

期刊

JOURNAL OF GLOBAL OPTIMIZATION
卷 83, 期 1, 页码 3-28

出版社

SPRINGER
DOI: 10.1007/s10898-021-01004-3

关键词

NMR spectroscopy; Shortest path problem; Resonance assignment problem; Linear programming relaxation

资金

  1. NSF BIGDATAaward [IIS-1837992]
  2. NIH/NIGMS award [1R01GM136780-01]
  3. AFOSR [FA9550-17-1-0291]
  4. Simons Foundation Math+X Investigator Award
  5. Moore Foundation Data-Driven Discovery Investigator Award
  6. NIH [GM-117212]

向作者/读者索取更多资源

Nuclear Magnetic Resonance (NMR) Spectroscopy is a key technique for protein structure determination, with a challenge being the assignment of resonance frequencies to atoms. The introduction of LIAN, a novel linear programming formulation, has led to state-of-the-art results in simulated and experimental datasets.
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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