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一种富含亮氨酸重复序列的组装方法,用于构建人 TLR5-10 和鼠 TLR11-13 胞外结构域的同源模型。

A leucine-rich repeat assembly approach for homology modeling of the human TLR5-10 and mouse TLR11-13 ectodomains.

机构信息

Center for Nanoscience, Ludwig-Maximilians-Universität München, 80799 Munich, Germany.

出版信息

J Mol Model. 2011 Jan;17(1):27-36. doi: 10.1007/s00894-010-0697-5. Epub 2010 Mar 30.

Abstract

So far, 13 groups of mammalian Toll-like receptors (TLRs) have been identified. Most TLRs have been shown to recognize pathogen-associated molecular patterns from a wide range of invading agents and initiate both innate and adaptive immune responses. The TLR ectodomains are composed of varying numbers and types of leucine-rich repeats (LRRs). As the crystal structures are currently missing for most TLR ligand-binding ectodomains, homology modeling enables first predictions of their three-dimensional structures on the basis of the determined crystal structures of TLR ectodomains. However, the quality of the predicted models that are generated from full-length templates can be limited due to low sequence identity between the target and templates. To obtain better templates for modeling, we have developed an LRR template assembly approach. Individual LRR templates that are locally optimal for the target sequence are assembled into multiple templates. This method was validated through the comparison of a predicted model with the crystal structure of mouse TLR3. With this method, we also constructed ectodomain models of human TLR5, TLR6, TLR7, TLR8, TLR9, and TLR10 and mouse TLR11, TLR12, and TLR13 that can be used as first passes for a computational simulation of ligand docking or to design mutation experiments. This template assembly approach can be extended to other repetitive proteins.

摘要

到目前为止,已经鉴定出 13 组哺乳动物 Toll 样受体 (TLR)。大多数 TLR 已被证明能够识别来自广泛入侵剂的病原体相关分子模式,并启动先天和适应性免疫反应。TLR 胞外域由不同数量和类型的亮氨酸丰富重复序列 (LRR)组成。由于大多数 TLR 配体结合胞外域的晶体结构目前仍然缺失,因此同源建模能够根据 TLR 胞外域的确定晶体结构首次预测其三维结构。然而,由于目标序列和模板之间的序列同一性较低,从全长模板生成的预测模型的质量可能受到限制。为了获得更好的建模模板,我们开发了一种 LRR 模板组装方法。将针对目标序列局部最优的各个 LRR 模板组装成多个模板。通过将预测模型与小鼠 TLR3 的晶体结构进行比较,验证了该方法的有效性。使用这种方法,我们还构建了人 TLR5、TLR6、TLR7、TLR8、TLR9 和 TLR10 以及小鼠 TLR11、TLR12 和 TLR13 的胞外域模型,这些模型可用于配体对接的计算模拟或设计突变实验的初步尝试。这种模板组装方法可以扩展到其他重复蛋白。

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