摘要
随着人类基因组计划的完成和蛋白组学的迅猛发展,计算机药物辅助设计成了生物制药技术的重要环节。深度学习可用于探索药物-靶标的相互作用,可视化技术可有效进行数据可视化和数据分析。针对网页端不便于进行复杂计算和绘制复杂图形的问题,文章使用Flask框架将深度学习和各种可视化显示等复杂工作都交由Python执行,网页端只进行最简单的输入输出设计,极大地降低了网页数据可视化的编程难度,无需复杂的JavaScript技术即可在网页端展示各种可视化结果。
With the completion of the human genome project and the rapid advancement of proteomics,computer aided drug design has become a vital component in biopharmaceutical technology.Drug-target interactions are explored through deep learning,and visualization technology is effective for data visualization and data analysis.For the description given by web that there is difficult to run a complex calculation and draw intricate image,a solution is presented that Flask framework takes deep learning and all kinds of data-visualization into executing by Python,on the same time takes the easy input and output into web.It significantly reduces the programming difficulty of web data visualization,enabling the presentation of various visualization results on the web without advanced JavaScript skills.
作者
王晓雷
王钱庆
王鲜芳
WANG Xiaolei;WANG Qianqing;WANG Xianfang(Henan Institute of Technology,School of Computer Science and Technology,Xinxiang 453003,China;Data Engineering Technology Research Center of Manufacturing Materials,Xinxiang 453003,China)
出处
《无线互联科技》
2024年第15期10-13,20,共5页
Wireless Internet Science and Technology
基金
河南工学院校级项目,项目名称:基于深度学习的生信大数据挖掘系统设计与实现,项目编号:XJ2023005602
河南省科技攻关项目,项目名称:基于云边端架构的工业智能关键技术研究,项目编号:242102220035
2024年度河南省高等学校重点科研项目计划,项目名称:面向金融领域的智能投顾大语言模型的关键技术及基础研究,项目编号:24B520004。
