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Searching for Novel Targets to Control Wheat Head Blight Disease—I-Protein Identification, 3D Modeling and Virtual Screening

机译:寻找新的靶标来控制小麦头枯萎病—I蛋白鉴定,3D建模和虚拟筛选

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Fusarium head blight (FHB) is a destructive disease of wheat and other cereals. FHB occurs in Europe, North America and around the world causing significant losses in production and endangers human and animal health. In this article, we provide the strategic steps for the specific target selection for the phytopathogen system wheat-Fusarium graminearum. The economic impact of FHB leads to the need for innovation. Currently used fungicides have been shown to be effective over the years, but recently cereal infecting Fusaria have developed resistance. Our work presents a new perspective on target selection to allow the development of new fungicides. We developed an innovative approach combining both genomic analysis and molecular modeling to increase the discovery for new chemical compounds with both safety and low environmental impact. Our protein targets selection revealed 13 candidates with high specificity, essentiality and potentially assayable with a favorable accessibility to drug activity. Among them, three proteins: trichodiene synthase, endoglucanase-5 and ERG6 were selected for deeper structural analyses to identify new putative fungicides. Overall, the bioinformatics filtering for novel protein targets applied for agricultural purposes is a response to the demand for chemical crop protection. The availability of the genome, secretome and PHI-base allowed the enrichment of the search that combined experimental data in planta. The homology modeling and molecular dynamics simulations allowed the acquisition of three robust and stable conformers. From this step, approximately ten thousand compounds have been virtually screened against three candidates. Forty-five top-ranked compounds were selected from docking results as presenting better interactions and energy at the binding pockets and no toxicity. These compounds may act as inhibitors and lead to the development of new fungicides.
机译:镰刀菌枯萎病是小麦和其他谷物的破坏性疾病。 FHB发生在欧洲,北美和世界各地,造成生产上的重大损失,并危害人类和动物健康。在本文中,我们提供了针对植物病原体小麦-禾谷镰刀菌的特定目标选择的战略步骤。 FHB的经济影响导致需要创新。多年来显示出目前使用的杀真菌剂是有效的,但最近感染谷Fu镰刀菌的谷物已产生抗药性。我们的工作为目标选择提出了新观点,以开发新的杀菌剂。我们开发了一种创新的方法,将基因组分析和分子建模相结合,以增加发现具有安全性和低环境影响的新化合物的能力。我们的蛋白质靶点选择揭示了13个具有高特异性,必要性和潜在可检测性的候选物,并且具有良好的药物活性可及性。其中,选择了三种蛋白:三苯二烯合酶,​​内切葡聚糖酶5和ERG6进行更深的结构分析,以鉴定出新的假定杀菌剂。总的来说,用于农业目的的新型蛋白质靶标的生物信息学过滤是对化学作物保护需求的回应。基因组,分泌组和PHI碱基的可用性使结合植物中实验数据的搜索得以丰富。同源性建模和分子动力学模拟允许获得三个鲁棒且稳定的构象异构体。从这一步骤开始,已经针对三个候选对象筛选了大约一万种化合物。从对接结果中选择了45种排名靠前的化合物,因为它们在结合口袋处表现出更好的相互作用和能量,并且没有毒性。这些化合物可作为抑制剂并导致新的杀菌剂的开发。

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