针对蝴蝶兰乙酰辅酶a羧化酶的除草剂样化合物的硅评价和基于模拟的优先排序

IF 2.9 Q1 AGRICULTURE, MULTIDISCIPLINARY ACS agricultural science & technology Pub Date : 2025-01-17 DOI:10.1021/acsagscitech.4c00635
Bikash Kumar Rajak, Priyanka Rani, Nitesh Singh and Durg Vijay Singh*, 
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摘要

小Phalaris是小麦地里常见的一种臭名昭著的杂草,它的生长速度非常快,对小麦作物构成了持久的威胁。更复杂的是,杂草和小麦在其早期生长阶段具有相似的表型,这使得人工除草具有挑战性。因此,施用除草剂已成为防治小蠊侵染的主要方法。然而,除草剂的过度使用导致了耐药小叶黄素生物型的进化,使许多市售除草剂的效果降低。这一紧迫的问题强调了开发新型除草剂的必要性,这是我们研究的中心焦点。基于计算结构的虚拟筛选方法已在ZINC15、CHEMBL和DrugBank数据库中使用,以识别除草剂样化合物。筛选后的候选物的结合亲和力进行了评估,以广泛使用的除草剂双氯磷(芳基苯氧丙酸酯,即FOP)和四氯氧啶(环己二酮,即DIM)为基准,它们对乙酰辅酶a羧化酶(ACCase)具有抑制活性。随后,对过滤后的化合物与模拟的小蠊ACCase蛋白络合进行100 ns的分子动力学模拟。模拟轨迹分析显示了所选候选化合物(CID 44331977, CID 118061654, CID 25783158和CID 136016466)的相互作用动力学和稳定性。模拟轨迹的结合自由能也进行了分析,以确定相互作用的稳定性和强度。通过在自由能景观图上绘制吉布斯自由能,进一步深入了解了模拟复杂主成分分析轨迹的动力学,从而确保了所选分子的稳定性。硅分析证明这些化合物具有类似除草剂的特性,可能对小蠊的ACCase蛋白有活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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In Silico Evaluation and Simulation-Based Prioritization of Herbicide-like Compounds Targeting Phalaris minor Acetyl-CoA Carboxylase

Phalaris minor, a notorious weed commonly found in wheat fields, exhibits an aggressive growth rate that makes it a persistent threat to wheat crops. Complicating matters, the weed and wheat share phenotypic similarities during their early growth stages, making manual weeding challenging. As a result, herbicide application has become the primary method for controlling P. minor infestations. However, the excessive use of herbicides has led to the evolution of resistant P. minor biotypes, rendering many commercially available herbicides less effective. This pressing issue underscores the need for developing novel herbicides, which are the central focus of our study. A computational structure-based virtual screening approach has been employed on ZINC15, CHEMBL, and DrugBank databases to identify herbicide-like compounds. The filtered candidates have been evaluated for their binding affinity, benchmarked against the widely used herbicides diclofop (aryloxyphenoxypropionates, i.e., FOP) and tepraloxydim (cyclohexanediones, i.e., DIM), which have inhibiting activity against acetyl-CoA carboxylase (ACCase). Subsequently, molecular dynamics simulations for 100 ns were conducted on the filtered compounds complexed with the modeled ACCase protein of P. minor. Simulated trajectory analysis revealed the interaction dynamics and stability of the selected candidate compounds (CID 44331977, CID 118061654, CID 25783158, and CID 136016466). Simulated trajectories have also been analyzed for their binding free energies to stipulate the stability and strength of interactions. A deeper insight into the dynamics of simulated complex principal component analysis of the trajectories has been analyzed followed by mapping of Gibbs free energy on the free energy landscape plot, which ensured the stability of selected molecules. The in silico analysis proved these compounds possess herbicide-like properties with possible activity against the ACCase protein of P. minor.

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