楼瀚涛

人工智能算法辅助B细胞与抗体功能研究是实验室主要研究方向。目前正在开展的科研项目主要有两个方面：1）B细胞功能与演化的计算与研究。2）人工智能辅助从头设计抗体

近五年论文：

(1) Hantao Lou; Jianqing Zheng; Xiaohang (Leo) Fang; Zhu Liang; Meihan Zhang; Yu Chen; Chunmei Wang; Xuetao Cao ; Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV- 2 and its Omicron variant, Cell Research, 2022

(2) Hanato Lou; Xuetao Cao ; Antibody variable region engineering for improving cancer immunotherapy, Cancer Communications, 2022

(3) Hantao Lou; Beata Wojciak-Stothard; Marieta M. Ruseva; Terence Cook; Peter Kelleher; Matthew C. Pickering; Juthathip Mongkolsapaya; Gavin R. Screaton; Xiao-Ning Xu ; Autoantibody-dependent amplification of inflammation in SLE, Cell death and disease, 2020.春, 11(729)   

(4) Hantao Lou; Matthew Pickering ; Extracellular DNA and autoimmune diseases, Cellular and Molecular Immunology, 2018

(5) Hantao Lou; Guangsheng Ling; Xuetao Cao ; Autoantibodies in systemic lupus erythematosus:From immunopathology to therapeutic target, Journal of Autoimmunity, 2022

(6) Houfu Leng; Hanlin Zhang; Linsen Li; Shuhao Zhang; Yanping Wang; Selina J. Chavda; Daria Galas-Filipowicz; HHaannttaaoo  LLoouu; Adel Ersek; Emma V. Morris; Erdinc Sezgin; Yi-Hsuan Lee; Yunsen Li; Ana Victoria Lechuga-Vieco; Mei Tian; Jian-Qing Mi; Kwee Yong; Qing Zhong; Claire M. Edwards; Anna Katharina Simon; Nicole J. Horwood ; Modulating glycosphingolipid metabolism and autophagy improves outcomes in pre-clinical models of myeloma bone disease, Nature Communications, 2022

(7) Xiaoning Xu; Hantao Lou; Jia Guo ; CORONA VIRUS ANTIBODY, 2021-9-23, WIPO, WO 2021/186190