Optimization techniques in molecular structure and function elucidation.

Optimization techniques in molecular structure and function elucidation.
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DOI:
10.1016/j.compchemeng.2009.06.006
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发表时间:
2009-12
影响因子:
4.3
通讯作者:
Sahinidis NV
Sahinidis NV
中科院分区:
工程技术2区
文献类型:
--
作者:
Sahinidis NV

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本文讨论了最近的优化方法的蛋白质侧链预测问题,蛋白质结构排列,和分子结构测定的X射线衍射测量。用于解决这些问题的机器包括线性规划、动态规划、组合优化和混合整数非线性规划的算法。这些问题中有许多是纯粹连续性的。然而,到目前为止,它们主要是通过应用于离散近似的组合优化算法来实现的。本文的主要目的是提供一个介绍和激励进一步的系统方法来解决这些问题。
This paper discusses recent optimization approaches to the protein side-chain prediction problem, protein structural alignment, and molecular structure determination from X-ray diffraction measurements. The machinery employed to solve these problems has included algorithms from linear programming, dynamic programming, combinatorial optimization, and mixed-integer nonlinear programming. Many of these problems are purely continuous in nature. Yet, to this date, they have been approached mostly via combinatorial optimization algorithms that are applied to discrete approximations. The main purpose of the paper is to offer an introduction and motivate further systems approaches to these problems.
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