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蛋白质折叠三角晶格模型的快速树搜索

Fast tree search for a triangular lattice model of protein folding.

作者信息

Li Xiaomei, Wang Nengchao

机构信息

Computer Science and Technology Institute, Huazhong University of Science and Technology, Wuhan 430074, China.

出版信息

Genomics Proteomics Bioinformatics. 2004 Nov;2(4):245-52. doi: 10.1016/s1672-0229(04)02031-5.

DOI:10.1016/s1672-0229(04)02031-5
PMID:15901253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5187417/
Abstract

Using a triangular lattice model to study the designability of protein folding, we overcame the parity problem of previous cubic lattice model and enumerated all the sequences and compact structures on a simple two-dimensional triangular lattice model of size 4+5+6+5+4. We used two types of amino acids, hydrophobic and polar, to make up the sequences, and achieved 2(23)+2(12) different sequences excluding the reverse symmetry sequences. The total string number of distinct compact structures was 219,093, excluding reflection symmetry in the self-avoiding path of length 24 triangular lattice model. Based on this model, we applied a fast search algorithm by constructing a cluster tree. The algorithm decreased the computation by computing the objective energy of non-leaf nodes. The parallel experiments proved that the fast tree search algorithm yielded an exponential speed-up in the model of size 4+5+6+5+4. Designability analysis was performed to understand the search result.

摘要

我们使用三角晶格模型来研究蛋白质折叠的可设计性,克服了先前立方晶格模型的奇偶问题,并在一个大小为4+5+6+5+4的简单二维三角晶格模型上枚举了所有序列和紧密结构。我们使用疏水和极性两种类型的氨基酸来组成序列,在排除反向对称序列后,得到了2(23)+2(12)种不同的序列。在长度为24的三角晶格模型的自回避路径中排除反射对称后,不同紧密结构的总序列数为219,093。基于此模型,我们通过构建聚类树应用了一种快速搜索算法。该算法通过计算非叶节点的目标能量来减少计算量。并行实验证明,快速树搜索算法在大小为4+5+6+5+4的模型中实现了指数级加速。为了理解搜索结果,我们进行了可设计性分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/acdea2b82541/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/f3adef5c7b1f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/817bc19ac787/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/83bff0fdef38/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/91c8b820bb18/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/e2eabd958627/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/b11de5529705/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/d49a4ac586f2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/f2aa06a1cb2b/gr8a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/076fa27011d1/gr8b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/7c04e6e3306e/gr8c.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/22b8a6ee4c35/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/6c45792bd708/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/acdea2b82541/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/f3adef5c7b1f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/817bc19ac787/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/83bff0fdef38/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/91c8b820bb18/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/e2eabd958627/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/b11de5529705/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/d49a4ac586f2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/f2aa06a1cb2b/gr8a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/076fa27011d1/gr8b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/7c04e6e3306e/gr8c.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/22b8a6ee4c35/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/6c45792bd708/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/932b/5187417/acdea2b82541/gr11.jpg

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