4.7 Article

In silico study revealed major conserve architectures and novel features of pyrabactin binding to Oryza sativa ABA receptors compare to the Arabidopsis thaliana

期刊

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
卷 38, 期 11, 页码 3211-3224

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2019.1654922

关键词

ABA receptors; Oryza sativa; comparative modeling; docking; molecular dynamics

资金

  1. NASF, ICAR, New Delhi [NFBSFARA/Phen 2015/2011-12]

向作者/读者索取更多资源

Enhancing water use efficiency (WUE) of crops in irrigated agriculture and drought tolerance in rain-fed agriculture is the major goal for sustaining and enhancing agricultural productivity in the future. The phytohormone abscisic acid (ABA) signaling pathway is a major target for the agronomic management of WUE and genetic improvement of drought tolerance in crops. The START domain proteins PYRABACTIN RESISTANCE1 (PYR1)/PYR1-like (PYL)/Regulatory Components of ABA Receptors (RCARs) of the model plant Arabidopsis thaliana have been characterized as bona fide ABA receptors (ABARs). ABA signaling pathway can be activated or repressed by using specific agonist and antagonist against ABAR and therefore, can be used to control ABA-mediated physiological changes in plants. In the present work, we have reported the 3 D structure models of three ABARs (OsPYL1-3) from drought-tolerant Indica rice N22 (Oryza sativa L. sp. Indica cv N22) in apo- and ligand-bound conformations developed using comparative modeling techniques. Subsequently, these models were used in docking study to investigate the binding mode of known ABAR agonists and antagonists. Further, molecular dynamics studies on the selected systems verified the residues involved in protein-ligand interactions. The study identified the important ligand-binding features for the future development of specific agonists/antagonists to modulate the ABA activity in O. sativa and provides in silico models for designing and virtual screening to identify potent ABA receptor ligands. Communicated by Ramaswamy H. Sarma

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据