大数据时代计算机辅助药物设计的教学思考  

Teaching Thinking of Computer Aided Drug Design in Era of Big Data

作　　者：周双艳 袁帅[1] 张文英[1] ZHOU Shuang-yan;YUAN Shuai;ZHANG Wen-ying(College of Bioinformatics,Chongqing University of Post and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学生物信息学院,重庆400065

出　　处：《广州化工》2021年第17期177-178,181,共3页GuangZhou Chemical Industry

基　　金：重庆邮电大学课程思政建设项目(No:XKCSZ2030);重庆市教改项目(No:193103)。

摘　　要：近年来,随着互联网的飞速发展,大数据时代悄然而至。在大数据时代背景的驱动下,大学教育的精准化和个性化成为了新时代的教学发展趋势。伴随大数据的发展,计算机辅助药物设计也在不断革新,新范式、新方法层出不穷。基于此,本文针对大数据时代下计算机辅助药物设计的课程教学进行了全方位、深层次的探讨和总结,以期在一定程度上提升课程的教学效果,培养学生对计算机辅助药物设计的兴趣。In recent years,the rapid development of internet brings the era of big data.Driven by the big data era,precision and individualization of university education has become the trend of teaching in the new era.Accompanying with the development of big data,computer aided drug design also experiences fast development,new paradigms and new methods emerge endlessly.The teaching of Computer Aided Drug Design under the background of big data erawas discussed comprehensively and in depth.According to these discussions,it was expected to improve the teaching effect of computer aided drug design,as well as to motivate the interests of students to learn computer aided drug design.

关 键 词：计算机辅助药物设计 大数据 教学探索 

分 类 号：G424[文化科学—课程与教学论]