大学化学2025，Vol.40Issue(3)：277-284,8.DOI:10.12461/PKU.DXHX202412104
AI赋能生物化学教学研究——基因突变的功能效应预测
AI-Driven Biochemical Teaching Research:Predicting the Functional Effects of Gene Mutations
摘要
Abstract
Guided by the principle of"integrating science and education,collaboratively cultivating talent",this paper explores the integration of Artificial Intelligence(AI)with biochemistry teaching and research.It examines the application of AI technology in the reform of biochemistry education,specifically through the development of a case study in biomedical engineering that predicts the functional effects of gene mutations using AI.The paper discusses the design and implementation of this AI-driven teaching case,focusing on the case's background,curriculum design,teaching strategies,and evaluation of its impact.This approach aims to cultivate interdisciplinary thinking in students,enhancing their ability to integrate knowledge across fields.关键词
生物化学/案例教学/基因突变/功能效应/人工智能Key words
Biochemistry/Case teaching/Gene mutation/Functional effect/Artificial intelligence分类
社会科学引用本文复制引用
张颖,葛芳,罗志敏..AI赋能生物化学教学研究——基因突变的功能效应预测[J].大学化学,2025,40(3):277-284,8.基金项目
江苏省"青蓝工程"优秀青年骨干教师资助项目,江苏省高校自然科学研究重大项目(22KJA430007),国家自然科学基金面上项目(22275096),南京邮电大学教学改革研究项目(JG03024JX24) （22KJA430007）
