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Protein Folding Implementation of the Simulated Annealing Algorithm on Simple Three-Dimensional Models

机译:简单三维模型的模拟退火算法的蛋白质折叠实现

摘要

How an arbitrary coil of amino acids folds into its functional structure is known asthe protein folding problem. Since the underlying mechanisms that guide proteinfolding in nature are widely unknown, simpli ed models are studied. Many of thesemodels have energy levels as the focal point in order to nd the native state andmay ignore other relevant constraints. While these simpli ed models may seem tootrivial to have any resemblance to the physical reality, they can be used to exploreconcepts and ideas that may lead to further insights on how proteins fold.This thesis studies the use of simulated annealing optimization techniques to findlow energy states in simple lattice and off-lattice models. A certain emphasis isplaced upon looking for patterns in the results emerging. One simple off -latticemodel and two lattice models are considered, a cubic lattice and a face-centeredcubic lattice. Compared to the optimal energy, low energy conformations of 48-residue chains are found in reasonable time. It is concluded that while the methodcan not be said to exhibit the behavior of nding one consistent native state eachtime it is run, patterns do emerge in the results.
机译:氨基酸的任意线圈如何折叠成其功能结构被称为蛋白质折叠问题。由于在自然界中指导蛋白质折叠的潜在机制广为人知,因此我们研究了简化模型。这些模型中的许多模型都以能级为焦点,以发现原始状态,并且可能忽略其他相关约束。尽管这些简化的模型似乎与物理现实没有任何相似之处,但它们可用于探索概念和思想,这些思想和思想可能会导致对蛋白质如何折叠的进一步了解。本文研究了使用模拟退火优化技术来发现低能态的方法。在简单的晶格和非晶格模型中。在寻找出现的结果中的模式时有一定的重点。考虑一个简单的非格模型和两个格模型,一个立方格和一个面心立方格。与最佳能量相比,在合理的时间内发现了48个残基链的低能构象。结论是,虽然不能说该方法在每次运行时都表现出发现一个一致的本机状态的行为,但结果中确实出现了模式。

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