论文标题
NMR通过线性编程分配
NMR Assignment through Linear Programming
论文作者
论文摘要
核磁共振（NMR）光谱是用于蛋白质结构测定的第二种最常用的技术（仅次于X射线晶体学）。该技术中的计算挑战涉及解决一个离散优化问题，该问题将共振频率分配给蛋白质中的每个原子。本文介绍了Lian（NMR的线性编程分配），这是该问题的新型线性编程公式，从而产生了最先进的方法，从而导致模拟和实验性数据集。
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.
