摘要
计算机辅助药物设计(CADD)是药物化学的重要教学模块,受限于学时少,前沿性强,抽象度高等现实因素,传统的教学方式往往难以取得理想效果。鉴于CADD本身已深度融合计算机和人工智能(AI)理念,实现教学内容与手段的双重融合,或成为提升教学效果、优化学习体验的破局关键之一。本文深入剖析了AI技术应用在逻辑驱动、算法基础和数据处理架构层面的内在一致性,并进一步阐述了借助AI技术激活前沿内容、解锁多元教法以及重塑动态评价体系的实施路径。这种“双融合”不仅可强化学生的专业认同,还有助于全方位培育其科学素养和综合能力,为药物化学人才培养注入新的活力。
Computer-aided drug design(CADD)is a key instructional module in medicinal chemistry.However,due to limited class hours,high front-line complexity,and abstract theoretical content,traditional teaching approaches often fail to achieve the desired outcomes.Given that CADD itself inherently integrates computing and artificial intelligence(AI)concepts,achieving a dual integration of teaching content and pedagogical methods may be a crucial breakthrough for improving instructional effectiveness and optimizing learning experiences.This paper systematically analyzes the intrinsic coherence of AI applications at the levels of logical reasoning,algorithmic foundations,and data-processing architecture.It further elucidates the implementation pathways through which AI technologies can activate cutting-edge content,diversify teaching methodologies,and reshape dynamic evaluation systems.This“dual integration”not only enhances students professional identity but also comprehensively fosters their scientific literacy and overall competence,injecting new vitality into talent cultivation in medicinal chemistry.
作者
杨龙华
单丽红
张恩
施秀芳
孙默然
YANG Longhua;SHAN Lihong;ZHANG En;SHI Xiufang;SUN Moran(School of Pharmaceutical Sciences,Zhengzhou University,Zhengzhou 450001,China)
出处
《药学教育》
2025年第5期33-36,70,共5页
Pharmaceutical Education
基金
郑州大学教育教学改革研究与实践项目(No.2022ZZUJG268
No.2024ZZUJGXM096)
郑州大学教育教学改革研究与实践项目留学生教育专项(No.2022ZZUJGXMLXS-013)。
关键词
人工智能
计算机辅助药物设计
药物化学
教学改革
双重融合
artificial intelligence
computer-aided drug design
medicinal chemistry
teaching reform
dual integration
