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Artificial intelligence in cancer target identification and drug discovery

Signal Transduction and Targeted Therapy 2022年第6期7卷 1951-1974页

作者： Yujie You Xin Lai Yi Pan Huiru Zheng Julio Vera Suran Liu senyi deng Le Zhang College of Computer Science Sichuan UniversityChengdu 610065China Laboratory of Systems Tumor Immunology Friedrich-Alexander-Universität Erlangen-Nürnberg(FAU)and Universitätsklinikum ErlangenErlangen 91052Germany Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesRoom D5131068 Xueyuan AvenueShenzhen University TownShenzhen 518055China School of Computing Ulster UniversityBelfast BT151EDUK Institute of Thoracic Oncology Department of Thoracic SurgeryWest China HospitalSichuan UniversityChengdu 610065China Key Laboratory of Systems Biology Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesChinese Academy of SciencesHangzhou 310024China Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China

Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as ***,we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover ***,we describe the scope of artificial intelligence biology analysis for novel anticancer target ***,we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence ***,we showcase the applications of artificial intelligence approaches in cancer target identification and drug *** together,the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer,thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates.

关键词： drugs cancer drug

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A review of artificial intelligence applications for antimicrobial resistance

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Biosafety and Health 2021年第1期3卷 22-31页

作者： Ji Lv senyi deng Le Zhang College of computer science Sichuan UniversityChengdu 610065China Thoracic Surgery Research Laboratory Department of Thoracic SurgeryWest China HospitalSichuan Universitychengdu 610065China Medical Big Data Center of Sichuan University Chengdu 610065China PERA Corporation Ltd. Beijing 100025China

The wide use and abuse of antibiotics could make antimicrobial resistance(AMR)an increasingly serious issue that threatens global health and imposes an enormous burden on society and the *** avoid the crisis of AMR,we have to fundamentally change our *** intelligence(AI)represents a new paradigm to combat ***,various AI approaches to this problem have sprung up,some of which may be considered successful cases of domain-specific AI applications in ***,to the best of our knowledge,there is no systematic review illustrating the use of these AI-based applications for ***,this review briefly introduces how to employ AI technology against AMR by using the predictive AMR model,the rational use of antibiotics,antimicrobial peptides(AMPs)and antibiotic combinations,as well as future research directions.

关键词： Artificial intelligence Antimicrobial resistance Whole-genome sequencing Clinical decision support systems Drug combinations

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Tet methylcytosine dioxygenase 2(TET2)deficiency elicits EGFR-TKI(tyrosine kinase inhibitors)resistance in non-small cell lung cancer

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1706-1720页

作者： Jian Zhang Kejia Zhao Wenjing Zhou Ran Kang Shiyou Wei Yueli Shu Cheng Yu Yin Ku Yonghong Mao Hao Luo Juqin Yang Jiandong Mei Qiang Pu senyi deng Zhengyu Zha Gang Yuan Shensi Shen Yaohui Chen Lunxu Liu Department of Thoracic Surgery and Institute of Thoracic Oncology West China Hospital of Sichuan UniversityChengdu 610097China Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer Sichuan UniversityChengdu 610097China Biobank of West China Hospital Sichuan UniversityChengdu 610041China

Despite epidermal growth factor receptor(EGFR)tyrosine kinase inhibitors(TKl)have shown remarkable efficacy in patients with EGFR-mutant non-small cell lung cancer(NSCLC),acquired resistance inevitably develops,limiting clinical *** found that TET2 was poly-ubiquitinated by E3 ligase CUL7^(FBXW11) and degraded in EGFR-TKI resistant NSCLC *** perturbationof TET2 rendered parental cells more tolerant to TKI ***2 was stabilized by MEK1 phosphorylation at Ser 1107,while MEK1 inactivation promoted its proteasome degradation by enhancing the recruitment of CUL7^(FBXW11),Loss of TET2 resulted in the upregulation of TNF/NF-kB signaling that confers the EGFR-TKI *** or pharmacological inhibition of NF-kB attenuate the TKI resistance both in vitro and in *** findings exemplified how a cell growth controlling kinase MEK1 leveraged the epigenetic homeostasis by regulating TET2,and demonstrated an alternative path of non-mutational acquired EGFR-TKI resistance modulated by TET2 ***,combined strategy exploiting EGFR-TKI and inhibitors of TET2/NF-κB axis holds therapeutic potential for treating NSCLC patients who suffered from this resistance.

关键词： TET2 TKI resistance

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Zygotic wnt8 expression is controlled by a novel kruppel zinc finger protein for ventro-lateral cell fate in zebrafish embryos

Zygotic wnt8 expression is controlled by a novel kruppel zin...

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2010·第一届斑马鱼学术研讨会

作者： Shaohua Yao,Meilin Qian,senyi deng,Lifang Xie,Hanshuo Yang,Chun Xiao,Ting Zhang, Hong Xu,Xia Zhao,Lijuan Chen,Hongxin deng,Min Song,Pei Li,Yu-quan Wei~*,Xianming Mo~*

During vertebrate embryonic development,the body axis formation requires active Wnt signals and their *** zebrafish,zygotic canonical wnt8 expression appears exclusively at the ventrolateral margin and mediates Wnt/ -...

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