个人简介：

主要研究方向为RNA调控生物信息学。先后开发了TAM2.0、PACES、m6Acorr、LE-MDCAP、GE-Impute等多个生物信息学方法工具，累计使用超过20万次。建立TransmiR v2.0与HMDD v3.0数据库，在数据库分享与评价网站Database Commons所收录的全球5861个生物学数据库中，两个数据库影响力得分分别位列前10%和前5%。进一步应用生物信息学方法技术，探究miRNA性别偏好表达、二甲双胍对健康个体的潜在作用与风险、癌症胚系基因组模式特征及心脏疾病的免疫细胞浸润特征等生物医学问题。近五年以第一或通讯作者身份（含共同）在Nucleic Acids Research，Genome Biology， Briefings in Bioinformatics， Genomics Proteomics & Bioinformatics，Science Advances等国内外领域主流期刊发表SCI论文35篇。据Web of Science，近五年累计SCI引用超过2100次（他引超2000次），ESI高被引论文累计3篇，获国自然优青项目（2023年-2025年）资助。

主持科研项目 ：

1. RNA调控的生物信息学，32222020，国家自然科学基金优秀青年项目，2023/01-2025/12，200万元，在研，主持

2. 基于功能读出的m6A甲基化关键靶基因的计算筛选及其在巨噬细胞极化研究中的应用，32070658，国家自然科学基金面上项目，2021/01-2024/12，58万元，在研，主持

3. 基于上下文的RNA甲基化(m6A)谱的比较分析，31801099，国家自然科学基金青年项目，2019/01-2021/12，25万元，结题，主持

学术兼职：

1.Frontiers in Genetics，Associate Editor

2.Biology，编委

3. Frontiers in Bioinformatics, Review Editor

代表论文：

1. Yuan Zhou#,* , Pan Zeng, Yan-Hui Li, Ziding Zhang, Qinghua Cui*. SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features. Nucleic Acids Research , 2016,44(10):e91. [ESI 高被引论文 ]

2. Zhan Tong#, Qinghua Cui, Juan Wang*, Yuan Zhou* . TransmiR v2.0: an updated transcription factor-microRNA regulation database. Nucleic Acids Research , 2019, 47(D1):D253-D258. [ESI 高被引论文 ]

3. Zhou Huang#, Jiangcheng Shi#, Yuanxu Gao#, Chunmei Cui, Shan Zhang, Jianwei Li*, Yuan Zhou* , Qinghua Cui*. HMDD v3.0: a database for experimentally supported human microRNA-disease associations. Nucleic Acids Research , 2019, 47(D1):D1013-D1017. [ESI 高被引论文 ]

4. Rucong Liu#, Zibaguli Wubulikasimu#, Runze Cai, Fanyi Meng, Qinghua Cui, Yuan Zhou* ,Yang Li* NAT10-mediated N4-acetylcytidine mRNA modification regulates self-renewal in human embryonic stem cells. Nucleic Acids Research , 2023, 51(16): 8514-8531.

5. Xiaobin Wu#, Yuan Zhou* . GE-Impute: graph embedding-based imputation for single-cell RNA-seq data. Briefings in Bioinformatics , 2022, bbac313.

6. Yan Huang, Ziding Zhang*, Yuan Zhou* . AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information. Frontiers in Immunology , 2022, 13:1053617.

7. Yan Huang#, Stefan Wuchty, Yuan Zhou* , Ziding Zhang*. SGPPI: structure-aware prediction of protein-protein interactions in rigorous conditions with graph convolutional network. Briefings in Bioinformatics , 2023, bbad020.

8. Xue Xu#, Yuan Zhou# , Xiaowen Feng#, Xiong Li#, Mohammad Asad, Derek Li, Bo Liao*, Jianqiang Li*, Qinghua Cui*, Edwin Wang*. Germline genomic patterns are associated with cancer risk, oncogenic pathways, and clinical outcomes. Science Advances , 2020, 6(48): eaba4905.

9. Zhou Huang#, Leibo Liu#, Jiangcheng Shi, Qinghua Cui, Jianwei Li*, Yuan Zhou* . Benchmark of computational methods for predicting microRNA-disease associations. Genome Biology , 2019, 20(1):202.

10. Jianwei Li*, Xiaofen Han, Yanping Wan, Shan Zhang, Yingshu Zhao, Rui Fan, Qinghua Cui, Yuan Zhou* . TAM 2.0: tool for microRNA set analysis. Nucleic Acids Research , 2018,46(W1):W180-W185.