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A WEIGHTED HP MODEL FOR PROTEIN FOLDING WITH DIAGONAL CONTACTS

机译:带有对角线接触的蛋白质折叠的加权HP模型

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The HP model is one of the most popular discretized models for attacking the protein folding problem, i.e., for the computational prediction of the tertiary structure of a protein from its amino acid sequence. It is based on the assumption that interactions between hydrophobic amino acids are the main force in the folding process. Therefore, it distinguishes between polar and hydrophobic amino acids only and tries to embed the amino acid sequence into a two- or three-dimensional grid lattice such as to maximize the number of contacts, i.e., of pairs of hydrophobic amino acids that are embedded into neighboring positions of the grid. In this paper, we propose a new generalization of the HP model which overcomes one of the major drawbacks of the original HP model, namely the bipartiteness of the underlying grid structure which severely restricts the set of possible contacts. Moreover, we introduce the (biologically well-motivated) concept of weighted contacts, where each contact gets assigned a weight depending on the spatial distance between the embedded amino acids. We analyze the applicability of existing approximation algorithms for the original HP model to our new setting and design a new approximation algorithm for this generalized model.
机译:HP模型是用于攻击蛋白质折叠问题的最流行的离散模型之一,即用于从其氨基酸序列计算预测蛋白质的三级结构的模型。它基于以下假设:疏水氨基酸之间的相互作用是折叠过程中的主要作用力。因此,它仅区分极性氨基酸和疏水性氨基酸,并试图将氨基酸序列嵌入二维或三维网格中,以便最大化接触数量,即嵌入其中的疏水性氨基酸对的数量。网格的相邻位置。在本文中,我们提出了一种新的HP模型概括,它克服了原始HP模型的主要缺点之一,即底层网格结构的二分性严重限制了可能的接触点集。此外,我们介绍了加权接触的概念(生物学上的动机),其中根据嵌入氨基酸之间的空间距离为每个接触分配权重。我们分析了原始HP模型的现有近似算法对我们的新设置的适用性,并为此广义模型设计了一种新的近似算法。

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