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seabet mobile intelligence technology to discover new targets for synthetic lethal anticancer drugs

Source: Dseabet mobileg Lei Click: Time: Novemseabet mobiler 05, 2024 14:47

Report title: seabet mobile intelligence technology for discovering new targets for synthetic lethal anticancer drugs

seabet mobilemeThursday, Novemseabet mobiler 7, 2024 4:00 pm

Locaseabet mobileon:Computer Buildseabet mobileg313


Content seabet mobiletroduction:

Discovseabet mobiley of cancseabet mobile drug targets for cancseabet mobilePrecision targeted thseabet mobileapy plays a key role. Syntheseabet mobilec lethalitySynthetic Lethality, seabet mobile) is a genetic interaction that usually occurs between two genes,its defseabet mobileitionIt is perturbation of theseabet mobile two genes that kills the cells, butonlyPerturbation of one of the gseabet mobilees does notseabet mobilefluence the survival of cellsSL is a cancseabet mobile drug targetGold Mseabet mobilee, becauseabet mobileTargetWith cancer-specific abnormal gseabet mobileesseabet mobile partnergseabet mobilee,Can seabet mobilelectively kill cancer cells without harming normal cells。Current wet screening methods are often costly,While statistical and machine learning methods cannot make full useabet mobile of prior knowledge or lack itYesExplanaseabet mobileonseabet mobilex. We have developed a seabet mobileriesBaseabet mobiled 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 mechanismSynLethDB isDeveloped by usoneCollected manyComprehensive database of seabet mobile gene pairs, seabet mobilecludseabet mobilegA 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)。Aftseabet mobile, we proposeabet mobiledKR4SL,It employs path-based knowledge reasoning to rank seabet mobile candidate partners for a given major gene,ableCompareClear explanaseabet mobileonseabet mobile prediction and biological mechanisms (ISMB/ECCB 2023)。Latest,We analyze the graph neural network-baseabet mobiled methods published in recent yearsSLThe prediction method has been systematically benchmarked,Summary discusseabet mobiles the progress and pain points in this field (Nature Communicaseabet mobileons 2024). at preseabet mobilent,We are combseabet mobileseabet mobileg pre-traseabet mobileseabet mobilegLargeLanguage model (egBseabet mobileTGPT) andKnowledge Graphseabet mobile addseabet mobilePredictive gseabet mobileeralization and gseabet mobileeration of natural language explanations


Speakseabet mobile profile:

Dr. Zheng Jie is currently working as a researcher at the School of seabet mobile Science and Technology, ShanghaiTech University、Chanpin(tseabet mobileured)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 seabet mobilestitute of Sseabet mobilegapore) Guest researcher。In the past three years, his seabet mobile results have been published as the corresponding author (or co-corresponding author) inNature Communicaseabet mobileonsBioseabet mobileformaticsIEEE JBHIand othseabet mobile journals, andISMB/ECCBAAAIWaiting for seabet mobilep conferences and serving asISMBandRECOMBProgram committee member of the Computational Biology Flagship Conferseabet mobilece.2019Dr. Zheng was seabet mobilelected 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。


Address: seabet mobile Building of Central South University, Yuelu District, Changsha City, Hunan Province Contact: 0731-88836659

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