摘要
随着人工智能技术的飞速发展,其在药物研发领域的应用日益广泛,为解决传统研发难题提供了新的思路和方法。本文阐述了传统药物研发中存在的挑战和问题,介绍了人工智能技术在药物领域的应用,包括机器学习、深度学习、分子对接等方面,分析了基于人工智能的药物研发优势,并探讨了其未来发展趋势,供有关方面参考。
With the rapid development of artificial intelligence technology,its application in drug research and development is becoming increasingly widespread,providing new ideas and methods for solving traditional research and development problems.This article elaborates on the challenges and problems in traditional drug development,mainly introducing the application of artificial intelligence technology in the field of medicine,including machine learning,deep learning,molecular docking,etc.It analyzes the advantages of AI based drug development and explores its future development trends.
作者
王凯
WANG Kai(Nanjing Yuanshu Pharmaceutical Technology Co.,Ltd.,Nanjing Jiangsu 210033)
出处
《中国科技纵横》
2024年第13期19-21,共3页
China Science & Technology Overview
关键词
人工智能
药物发现
药物设计
机器学习
artificial intelligence
drug discovery
drug design
machine learning