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针对麦和玉米中多种农业化学植物毒性的综合预测QSAR,阅读和q-RASAR分析:基于共识的风险评估和优先级的方法

Nilesh Kumar Pandey1, Anjali Murmu1, Purusottam Banjare2

  • 1Department of Pharmacy, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, 495009, India.

Environmental science and pollution research international
|January 16, 2024
PubMed
概括

本研究使用QSAR和q-RASAR模型评估玉米和麦中农业化学品的植物毒性. 它确定了15种高度有毒的化合物,有助于更安全的农业实践.

关键词:
农业化学品 农业化学品 农业化学品植物毒性 植物毒性在QSAR中使用QSAR.在整个阅读阅读.风险评估 风险评估 风险评估在 q-RASAR 系统中,

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...