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首頁(yè) 全所PI名錄
  • 褚晏伊
  • 研究員,研究組長(zhǎng),博士生導(dǎo)師
  • E-mail: yanyi.chu@sibcb.ac.cn
  • 實(shí)驗(yàn)室主頁(yè): 
    個(gè)人簡(jiǎn)介:
  • 博士畢業(yè)于上海交通大學(xué),同時(shí)于加拿大 University of Calgary 聯(lián)合培養(yǎng),獲致遠(yuǎn)榮譽(yù)博士學(xué)位,本科畢業(yè)于沈陽(yáng)藥科大學(xué)。曾在斯坦福大學(xué)、普林斯頓大學(xué)和Arc Institute從事博士后研究工作。自2026年起任中國(guó)科學(xué)院分子細(xì)胞科學(xué)卓越創(chuàng)新中心(生物化學(xué)與細(xì)胞生物學(xué)研究所)研究員,研究組長(zhǎng),博士生導(dǎo)師。

    社會(huì)任職:
    研究方向:
  • 人工智能驅(qū)動(dòng)的 RNA 免疫調(diào)控與治療設(shè)計(jì)
    研究工作:
  • RNA分子及其調(diào)控元件在免疫應(yīng)答和免疫治療中發(fā)揮著關(guān)鍵作用,其序列、結(jié)構(gòu)和翻譯調(diào)控特性直接影響免疫分子的表達(dá)水平和功能效應(yīng)。然而,RNA功能的復(fù)雜性以及免疫系統(tǒng)的高度異質(zhì)性,使得RNA免疫治療的設(shè)計(jì)長(zhǎng)期依賴(lài)經(jīng)驗(yàn)探索,缺乏系統(tǒng)性的設(shè)計(jì)原則。

    本課題組聚焦“人工智能驅(qū)動(dòng)的RNA免疫調(diào)控與治療設(shè)計(jì)”,圍繞mRNA、環(huán)狀RNA、自復(fù)制RNA,研究RNA序列-結(jié)構(gòu)-翻譯-免疫效應(yīng)之間的調(diào)控規(guī)律。通過(guò)結(jié)合人工智能方法、計(jì)算生物學(xué)與免疫學(xué),采用計(jì)算分析與實(shí)驗(yàn)驗(yàn)證相結(jié)合的研究策略,我們將:

    (1)系統(tǒng)解析 RNA 非編碼調(diào)控元件在不同細(xì)胞類(lèi)型和免疫環(huán)境中的功能特性,揭示其對(duì) RNA 翻譯效率、穩(wěn)定性和免疫效應(yīng)的調(diào)控機(jī)制。

    (2)開(kāi)發(fā)人工智能模型,實(shí)現(xiàn)RNA調(diào)控元件和免疫分子編碼序列的理性設(shè)計(jì)與多目標(biāo)優(yōu)化,提升 RNA 在免疫治療中的表達(dá)效率與功能可控性。

    (3)探索RNA在個(gè)性化新抗原疫苗、CAR-T等免疫治療模式中的應(yīng)用,研究免疫分子工程化設(shè)計(jì)的關(guān)鍵計(jì)算原則與方法。

    本課題組致力于發(fā)展兼具 基礎(chǔ)機(jī)制研究 與 工程設(shè)計(jì)潛力 的交叉研究方向,為RNA免疫治療和精準(zhǔn)免疫調(diào)控提供新的理論基礎(chǔ)與技術(shù)手段。歡迎具有生物學(xué)、免疫學(xué)、計(jì)算生物學(xué)及人工智能背景的學(xué)生和研究人員加入。

    承擔(dān)科研項(xiàng)目情況:
    代表論著:
    1. Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, and Mengdi Wang,?A 5'UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions,?Nature Machine Intelligence,?https://doi.org/10.1038/s42256-024-00823-9
    2. Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei,?A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design,?Nature Machine Intelligence, Volume 4, 23 March 2022, Pages 300-311,?https://doi.org/10.1038/s42256-022-00459-7
    3. Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei,?MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph,?Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab165,?https://doi.org/10.1093/bib/bbab165
    4. Yanyi Chu, Xiaoqi Shan, Tianhang Chen, Mingming Jiang, Yanjing Wang, Qiankun Wang, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei,?DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method,?Briefings in Bioinformatics, Volume 22, Issue 3, May 2021, bbaa205,?https://doi.org/10.1093/bib/bbaa205
    5. Yanyi Chu, Aman Chandra Kaushik, Xiangeng Wang, Wei Wang, Yufang Zhang, Xiaoqi Shan, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei,?DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features,?Briefings in Bioinformatics, Volume 22, Issue 1, January 2021, Pages 451–462,?https://doi.org/10.1093/bib/bbz152
    6. Xueying Mao, Yanyi Chu, Dong-Qing Wei. Designed with interactome-based deep learning. Nat Chem Biol?20, 1399–1401 (2024). https://doi.org/10.1038/s41589-024-01754-7
    7. Kaixuan Huang, Yukang Yang, Kaidi Fu,?Yanyi Chu, Le Cong, and Mengdi Wang,?Latent diffusion models for controllable rna sequence generation,?arXiv preprint arXiv:2409.09828,?https://arxiv.org/abs/2409.09828
    8. Mengyang Liu,?Yanyi Chu, Huan Liu, Yuqing Su, Qi Zhang, Jiao Jiao, Mingqi Liu, Junqiang Ding, Min Liu, Yawei Hu, Yueying Dai, Rongping Zhang, Xinrong Liu, Yihui Deng, Yanzhi Song,?Accelerated Blood Clearance of Nanoemulsions Modified with PEG-Cholesterol and PEG-Phospholipid Derivatives in Rats: The Effect of PEG-Lipid Linkages and PEG Molecular Weights,?Molecular pharmaceutics, Volume 17, Issue 4, April 2020, Pages 1059–1070,?https://doi.org/10.1021/acs.molpharmaceut.9b00770
    9. Zhiwen Shi,?Yanyi Chu, Yonghong Zhang, Yanjing Wang, Dong-Qing Wei,?Prediction of Blood-Brain Barrier Permeability of Compounds by Fusing Resampling Strategies and eXtreme Gradient Boosting,?IEEE Access, Volume 9, December 2020, Pages 9557-9566,?http://doi.org/10.1109/ACCESS.2020.3047852
    10. Qiuying Dai,?Yanyi Chu, Zhiqi Li, Yusong Zhao, Xueying Mao, Yanjing Wang, Yi Xiong, Dong-Qing Wei,?MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information,?Computers in Biology and Medicine, Volume 136, September 2021, 104706,?https://doi.org/10.1016/j.compbiomed.2021.104706
    11. Tianhang Chen, Xiangeng Wang,?Yanyi Chu, Yanjing Wang, Mingming Jiang, Dong-Qing Wei, Yi Xiong,?T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm,?Frontiers in Microbiology, Volume 11, Article 580382, September 2020,?https://doi.org/10.3389/fmicb.2020.580382
    12. Shenggeng Lin, Yanjing Wang, Lingfeng Zhang,?Yanyi Chu, Yatong Liu, Yitian Fang, Mingming Jiang, Qiankun Wang, Bowen Zhao, Yi Xiong, Dong-Qing Wei,?MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism,?Briefings in Bioinformatics, Article bbab421, October 2021,?https://doi.org/10.1093/bib/bbab421
    13. Xiaoqi Shan, Xiangeng Wang, Cheng-dong Li,?Yanyi Chu, Yufang Zhang, Yi Xiong, and Dong-Qing Wei,?Prediction of CYP450 Enzyme–Substrate Selectivity Based on the Network-Based Label Space Division Method,?Journal of Chemical Information and Modeling, Volume 59, Issue 11, October 2019, Pages 4577-4586,?https://doi.org/10.1021/acs.jcim.9b00749
    14. Yufang Zhang, Xiangeng Wang, Aman Chandra Kaushik,?Yanyi Chu, Xiaoqi Shan, Ming-Zhu Zhao, Qin Xu, Dong-Qing Wei,?SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction,?Frontiers in Chemistry, Volume 7, January 2020, Pages 895,?https://doi.org/10.3389/fchem.2019.00895
    15. Mingming Jiang, Bowen Zhao, Shenggan Luo, Qiankun Wang,?Yanyi Chu, Tianhang Chen, Xueying Mao, Yatong Liu, Yanjing Wang, Xue Jiang, Dong-Qing Wei, Yi Xiong,?NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods,?Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab310,?https://doi.org/10.1093/bib/bbab310
    獲獎(jiǎng)及榮譽(yù):
    研究組成員: