Reporter:Huazhong Agricultural UniversityProfessor Zhang Wen
Title： Drug discovery based on seabet casino games 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，seabet casino games representation learning brings new opportunities to this field。This report explores how to leverage seabet casino games data，include sequence、structure、Text and other data，To improve the efficiency and accuracy of drug discovery。This report introduces the basic theory of seabet casino games 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 seabet casino games representation learning、Predictive drugs-seabet casino games interactions and seabet casino games design, etc.
ReporterIntroduction：Zhangwen，Professor of School of Information, Huazhong Agricultural University、Doctoral Supervisor、Vice Dean。Engaged in artificial intelligence drug discovery research，Integrate deep seabet casino games、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 seabet casino games" series of white papers by the Artificial Intelligence Society。Results published onAAAI、IJCAIWaiting for the seabet casino games summit meetingBioinformatics、PLoS Computational Biology、seabet casino games Sciencesand other journals. serveBriefings in BioinformaticsEditorial board member of other magazines,Nature Biomedical Engineering、TPAMIReviewer of other journals.
