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来自茄子病原体抗性(R)蛋白的分子建模和动力学模拟的见解。

Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal.

作者信息

Shrivastava Dipty, Nain Vikrant, Sahi Shakti, Verma Anju, Sharma Priyanka, Sharma Prakash Chand, Kumar Polumetla Ananda

出版信息

Bioinformation. 2011 Jan 22;5(8):326-30. doi: 10.6026/97320630005326.

Abstract

Resistance (R) protein recognizes molecular signature of pathogen infection and activates downstream hypersensitive response signalling in plants. R protein works as a molecular switch for pathogen defence signalling and represent one of the largest plant gene family. Hence, understanding molecular structure and function of R proteins has been of paramount importance for plant biologists. The present study is aimed at predicting structure of R proteins signalling domains (CC-NBS) by creating a homology model, refining and optimising the model by molecular dynamics simulation and comparing ADP and ATP binding. Based on sequence similarity with proteins of known structures, CC-NBS domains were initially modelled using CED- 4 (cell death abnormality protein) and APAF-1 (apoptotic protease activating factor) as multiple templates. The final CC-NBS structural model was built and optimized by molecular dynamic simulation for 5 nanoseconds (ns). Docking of ADP and ATP at active site shows that both ligand bind specifically with same residues and with minor difference (1 Kcal/mol) in binding energy. Sharing of binding site by ADP and ATP and low difference in their binding site makes CC-NBS suitable for working as molecular switch. Furthermore, structural superimposition elucidate that CC-NBS and CARD (caspase recruitment domains) domain of CED-4 have low RMSD value of 0.9 A° Availability of 3D structural model for both CC and NBS domains will . help in getting deeper insight in these pathogen defence genes.

摘要

抗性(R)蛋白识别病原体感染的分子特征,并激活植物下游的过敏反应信号传导。R蛋白作为病原体防御信号传导的分子开关,是植物中最大的基因家族之一。因此,了解R蛋白的分子结构和功能对植物生物学家来说至关重要。本研究旨在通过创建同源模型来预测R蛋白信号结构域(CC-NBS)的结构,通过分子动力学模拟对模型进行细化和优化,并比较ADP和ATP的结合情况。基于与已知结构蛋白质的序列相似性,最初使用CED-4(细胞死亡异常蛋白)和APAF-1(凋亡蛋白酶激活因子)作为多个模板对CC-NBS结构域进行建模。最终的CC-NBS结构模型通过5纳秒(ns)的分子动力学模拟构建和优化。ADP和ATP在活性位点的对接表明,两种配体都与相同的残基特异性结合,结合能的差异很小(1千卡/摩尔)。ADP和ATP共享结合位点且结合位点差异小,使得CC-NBS适合作为分子开关。此外,结构叠加表明,CC-NBS与CED-4的CARD(半胱天冬酶募集结构域)结构域的均方根偏差(RMSD)值低至0.9埃。CC和NBS结构域的三维结构模型的可用性将有助于更深入地了解这些病原体防御基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e91b/3046036/ee8d6403c709/97320630005326F1.jpg

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