原卟啉原氧化酶
分子模型
化学
分子动力学
结合亲和力
亲缘关系
立体化学
对接(动物)
分子结合
吉布斯自由能
碎片分子轨道
酶
结合位点
计算化学
生物化学
分子构象
血浆蛋白结合
结合能
蛋白质数据库
组合化学
结构-活动关系
蛋白质-蛋白质相互作用
生物物理学
分子力学
作者
Adriana C. de Faria,A. Mesquita,Elaine F. F. da Cunha,Matheus P. Freitas
摘要
ABSTRACT Herbicides that inhibit protoporphyrinogen IX oxidase (PPO) constitute an important class of highly effective agrochemicals with broad applications. In this work, an integrated computational strategy was employed to investigate the PPO inhibitory activity of a series of phenyltriazolinone herbicides containing five‐membered heterocyclic rings. The approach combined quantitative structure–activity relationship (QSAR) modeling, molecular docking, molecular dynamics simulations, and Poisson–Boltzmann surface area (PBSA) calculations. Recently synthesized compounds from this class were designed to modify the chemical structures of known PPO inhibitors and enhance their herbicidal performance. QSAR modeling of the available bioactivity data enabled the proposal of new derivatives, among which compound P7 exhibited a predicted pIC 50 value of 7.11. Two additional candidates, P4 and P5 , were also predicted to display higher herbicidal activity than the reference compound sulfentrazone. These findings were further supported by molecular docking and molecular dynamics analyses, which confirmed favorable binding modes and stable interactions with the PPO enzyme. Binding affinities were additionally evaluated through Gibbs free energy calculations using the PBSA method. Finally, feasible synthetic routes were proposed for the most promising compounds, supporting their potential development as next‐generation PPO inhibitors.
科研通智能强力驱动
Strongly Powered by AbleSci AI