Report title: seabet mobile intelligence technology for discovering new targets for synthetic lethal anticancer drugs
Time：Thursday, November 7, 2024 4:00 pm
Location：Computer Building313
Content introduction:
Discovery of cancer drug targets for cancerPrecision targeted therapy plays a key role. Synthetic lethality（Synthetic Lethality, seabet mobile) is a genetic interaction that usually occurs between two genes，its definitionIt is perturbation of these two genes that kills the cells, butonlyPerturbation of one of the genes does notInfluence the survival of cells。SL is a cancer drug targetGold Mine, becauseTargetWith cancer-specific abnormal genesseabet mobile partnergene,Can selectively kill cancer cells without harming normal cells。Current wet screening methods are often costly，While statistical and machine learning methods cannot make full use of prior knowledge or lack itYesExplanationSex. We have developed a seriesBased onKnowledge Graph (knowledge graph, KG）, graph neural network andExplainable seabet mobile Intelligence (explainable AI, XAI)’s deep learning method to predict seabet mobile and understand behind itBiological mechanism。SynLethDB isDeveloped by usoneCollected manyComprehensive database of seabet mobile gene pairs, includingA nameSynLethKG’s knowledge graph。KG4SL is the first method to use KG for seabet mobile prediction (ISMB/ECCB 2021)。PiLSL further focuses on learning pairwise interactions from KGs to predict seabet mobile，and interpretable (ECCB 2022)。After, we proposedKR4SL，It employs path-based knowledge reasoning to rank seabet mobile candidate partners for a given major gene，ableCompareClear explanationseabet mobile prediction and biological mechanisms (ISMB/ECCB 2023)。Latest，We analyze the graph neural network-based methods published in recent yearsSLThe prediction method has been systematically benchmarked，Summary discusses the progress and pain points in this field (Nature Communications 2024). at present,We are combining pre-trainingLargeLanguage model (egBERT，GPT) andKnowledge Graph，To addseabet mobilePredictive generalization and generation of natural language explanations。
Speaker profile:
Dr. Zheng Jie is currently working as a researcher at the School of seabet mobile Science and Technology, ShanghaiTech University、Chanpin(tenured)Associate Professor、Ph.D. Supervisor，And serves as co-director of the Intelligent Medical Information seabet mobile Center。He received his bachelor’s degree and Ph.D. degree in computer science from Zhejiang University and University of California, Riverside respectively，And at the National Institutes of Health (NIH) National Center for Biotechnology seabet mobile (NCBI) engaged in postdoctoral seabet mobile。Before returning to China，He served as an assistant professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore，And serves as the Singapore Agency for Science, Technology and seabet mobile (A*STAR) Genome seabet mobile Institute (Genome Institute of Singapore) Guest researcher。In the past three years, his seabet mobile results have been published as the corresponding author (or co-corresponding author) inNature Communications、Bioinformatics、IEEE JBHIand other journals, andISMB/ECCB、AAAIWaiting for top conferences and serving asISMBandRECOMBProgram committee member of the Computational Biology Flagship Conference.2019Dr. Zheng was selected as the winner of Shanghai Municipal GovernmentDistinguished Professor of “Oriental Scholars”。Dr. Zheng has long been committed to the study of bioinformatics、Computational Biology、Research on the intersection of seabet mobile intelligence and biomedicine。Currently，His research focuses onAIPharmaceutical、Protein seabet mobile Intelligence and Data Science、Cancer precision medicine and other directions。
