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

被引:5
作者
Shrivastava, Dipty [1 ]
Nain, Vikrant [2 ]
Sahi, Shakti [2 ]
Verma, Anju [3 ]
Sharma, Priyanka [1 ]
Sharma, Prakash Chand [4 ]
Kumar, Polumetla Ananda [1 ]
机构
[1] IARI, Natl Res Ctr Plant Biotechnol, New Delhi 110012, India
[2] Gautam Buddha Univ, Sch Biotechnol, Greater Noida 201308, India
[3] Univ Missouri, Sch Biol Sci, Kansas City, MO 64110 USA
[4] GGS Indraprastha Univ, Sch Biotechnol, Delhi 110403, India
关键词
D O I
10.6026/97320630005326
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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(0). Availability of 3D structural model for both CC and NBS domains will help in getting deeper insight in these pathogen defence genes.
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页码:326 / 330
页数:5
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