陈钦畅，特聘研究员，博士生导师。2014年本科毕业于中国农业大学，2019年博士毕业于南京大学。2019-2022年于同济大学从事博士后研究工作，研究方向为生物信息学；2022-2025年在之江实验室从事AI for biology science的研究工作，任副研究员；2025年作为兴药青创学者加入中国药科大学生物药物学院。近年来研究工作发表于Nature Communications, Science Bulletin, Nature Machine Intelligence等国际权威期刊。先后主持国自然青年和面上项目，获上海市“超级博士后”等荣誉。

研究方向聚焦在AI和分子模拟赋能的药物发现、蛋白质挖掘和优化设计，特别是CRISPR基因编辑系统的优化：

（1）蛋白质表征和挖掘；（2）蛋白质优化和改造；（3）精准医疗药物设计。

课题组欢迎对AI、分子模拟、蛋白质结构和功能感兴趣的同学加入！

（1）Chen Q#, Chuai G#, Zhang H#, Tang J, Duan L, Guan H, Li W, Li W, Wen J, Zuo E*, Zhang Q*, Liu Q*.: Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints. Nat Commun 2023, 14:7521.

（2） Cui M, Nguyen D, Gaillez MP, Heiden S, Lin W, Thompson M, Reddavide F V.*, Chen Q*, Zhang Y*: Trio-pharmacophore DNA-encoded chemical library for simultaneous selection of fragments and linkers. Nat Commun 2023, 14:1481.

（3）Chen Q, Chuai G, Zhang C*, Zhang Q*, Liu Q*: Toward a molecular mechanism-based prediction of CRISPR-Cas9 targeting effects. Sci Bull 2022, 67:1201–1204.

（4）Chen Q, Zhou C, Shi W*, Wang X, Xia P, Song M, Liu J, Zhu H, Zhang X, Wei S, Yu H: Mechanistic in silico modeling of bisphenols to predict estrogen and glucocorticoid disrupting potentials. Sci Total Environ 2020, 728:138854.

（5）Gao Y, Gao Y, Fan Y, Zhu C, Wei Z, Zhou C, Chuai G, Chen Q, Zhang H, Liu Q*: Pan-Peptide Meta Learning for T-cell receptor – antigen binding recognition. Nat Mach Intell 2023, 5:236–249.

（6）Li W, Jiang X, Wang W, Hou L, Cai R, Li Y, Gu Q, Chen Q, Ma P, Tang J, Guo M, Chuai G*, Huang X*, Zhang J*, Liu Q*, Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models, Nat Commun 2024, 15:10024.

研究方向聚焦在AI和分子模拟赋能的药物发现、蛋白质挖掘和优化设计，特别是CRISPR基因编辑系统的优化：

（1）蛋白质表征和挖掘；（2）蛋白质优化和改造；（3）精准医疗药物设计。

课题组欢迎对AI、分子模拟、蛋白质结构和功能感兴趣的同学加入！

（1）Chen Q#, Chuai G#, Zhang H#, Tang J, Duan L, Guan H, Li W, Li W, Wen J, Zuo E*, Zhang Q*, Liu Q*.: Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints. Nat Commun 2023, 14:7521.

（2） Cui M, Nguyen D, Gaillez MP, Heiden S, Lin W, Thompson M, Reddavide F V.*, Chen Q*, Zhang Y*: Trio-pharmacophore DNA-encoded chemical library for simultaneous selection of fragments and linkers. Nat Commun 2023, 14:1481.

（3）Chen Q, Chuai G, Zhang C*, Zhang Q*, Liu Q*: Toward a molecular mechanism-based prediction of CRISPR-Cas9 targeting effects. Sci Bull 2022, 67:1201–1204.

（4）Chen Q, Zhou C, Shi W*, Wang X, Xia P, Song M, Liu J, Zhu H, Zhang X, Wei S, Yu H: Mechanistic in silico modeling of bisphenols to predict estrogen and glucocorticoid disrupting potentials. Sci Total Environ 2020, 728:138854.

（5）Gao Y, Gao Y, Fan Y, Zhu C, Wei Z, Zhou C, Chuai G, Chen Q, Zhang H, Liu Q*: Pan-Peptide Meta Learning for T-cell receptor – antigen binding recognition. Nat Mach Intell 2023, 5:236–249.

（6）Li W, Jiang X, Wang W, Hou L, Cai R, Li Y, Gu Q, Chen Q, Ma P, Tang J, Guo M, Chuai G*, Huang X*, Zhang J*, Liu Q*, Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models, Nat Commun 2024, 15:10024.