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中文摘要：
本文对蛋白质loop结构进行了反向研究,即对由n个残基构成的loop已知其空间结构,求匹配的n个氨基酸残基序列.把loop的3D信息转化为一个加权完全图Kn模型,然后求加权Kn图的最小Hamilton路.这条H路对应与寻找一个氨基酸残基序列,使该序列能够折叠成这个立体结构模型.根据Bayesian定律得到一个加权表,应用对loop的预测问题,取得预期的结果.
英文摘要：
In this paper,inverse study is applied in loop structure of protein.It is to find a order of amino acids residues which can assign a（？）loop 3D structure with n-residues.The 3D information of loop was transferred to a weighted complete graph Kn model and find a minimum Hamilton path in it.This H path is the resolution of the problem which is finding a order of amino acids residues which can folding to this 3D structure model.Weighted table was get according Bayesian theory and was used to problem of prediction and get a predicting result.
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