Reporter:Huazhong Agricultural UniversityProfessor Zhang Wen
Title： Drug discovery based on Bet365 login representation learning
Time：10month25Sunday (Friday) morning10:30-12:00
Location：Computer Building313Conference Room
Report Summary：With the development of artificial intelligence technology，The field of drug discovery is undergoing a profound revolution，Bet365 login representation learning brings new opportunities to this field。This report explores how to leverage Bet365 login data，include sequence、structure、Text and other data，To improve the efficiency and accuracy of drug discovery。This report introduces the basic theory of Bet365 login representation learning，Including background and potential advantages in drug discovery，Discuss key multi-modal data fusion technologies，Several successful cases demonstrate how to identify potential lead drug candidates through Bet365 login representation learning、Predictive drugs-Bet365 login interactions and Bet365 login design, etc.
ReporterIntroduction：Zhangwen，Professor, School of Information, Huazhong Agricultural University、Doctoral Supervisor、Vice Dean。Engaged in artificial intelligence drug discovery research，Integrate deep Bet365 login、Applying artificial intelligence technologies such as graph neural networks to disease target identification、Lead compound screening、Research fields such as drug molecule attribute prediction and drug molecule design，Developed a series of original algorithms，Organized to prepare and publish2022 "Artificial Intelligence and Drug Bet365 login" series of white papers by the Artificial Intelligence Society。Results published onAAAI、IJCAIWaiting for the artificial intelligence summit meetingBioinformatics、PLoS Computational Biology、Bet365 login Sciencesand other journals. serveBriefings in BioinformaticsEditorial board member of other magazines,Nature Biomedical Engineering、TPAMIReviewer of other journals.
