School of Pharmaceutical Science and Technology
Professor
zhangyang07@tju.edu.cn
天津大学英才教授，日本东京大学客座教授，剑桥大学博士，英国皇家化学会会士，英国皇家生物学会会士，英国皇家医学会会士。Communications Biology , BMC Biology， PLOS Genetics 的编委，Trends in Analytical Chemistry客座编委。主要开展计算和生物化学交叉研究，围绕基于人工智能的生物计算，生物分析，核酸生物化学领域开展了一系列的前沿与应用基础研究。主持国家自然科学基金、省部级科技项目、德国默克（Merck）研究项目、英国皇家化学会研究项目等10余项。以通讯作者身份发表高水平SCI论文70余篇，包括 Nature Biotechnology, Nature Methods, Advanced Science (封面），《Cell》旗下子刊 Med (封面）, Trends in Biotechnology, Trends in Microbiology, Trends in Parasitology(封面）， Trends in Genetics，Cell Reports Physical Science等, 生物信息学顶刊 Briefings in Bioinformatics, Bioinformatics, 化学顶刊 Trends in Analytical Chemistry， Journal of Biological Chemistry， Analytical Chemistry, Journal of Medicinal Chemistry（封面）等重要国际学术期刊。相关论文被Nature Reviews Methods Primers，Nature Methods, Nature Biotechnology等国际知名期刊正面引用4000余次，多篇文章入选ESI高被引论文。受邀在Springer Nature，RSC, WILEY 等知名出版社撰写多篇专著。连续入选2021-2025年度“全球前2%顶尖科学家榜单”。获得美国发明专利1项，中国发明专利授权7项。受邀担任 Nature Biotechnology, Nature Methods, Chemical Reviews等六十余个国际知名期刊的审稿人。
谷歌学术链接：https://scholar.google.com/citations?hl=zh-CN&user=I8yE3AUAAAAJ
ORCID：https://orcid.org/0000-0002-3503-5161- AI 核酸制药：我们利用核酸大语言模型开展新一代核酸药物的设计与开发，重点聚焦适配体的序列生成与结构预测，尤其关注 G-四链体等关键高级结构的建模与调控。
· AI 超分辨成像：我们结合大语言模型与视觉大模型，研发面向显微细胞超分辨率显微成像的高质量重建方法，实现对细胞与分子尺度结构的精确解析。
· AI 生物医学工程：我们以大模型智能体（AI agent）为核心，探索生物医学工程的新范式，结合机器视觉实现对多类生物医学成像系统的灵活控制，致力于打造自动化与智能化的实验流程。
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- Papers
- [1] Clinical Translation of Aptamers for COVID-19
- [2] Proteomic and transcriptome profiling of G-quadruplex aptamers developed for cell internalization
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- [3] Cell cycle-independent role of cyclin D3 in host restriction of influenza virus infection
- [4] Large language models for biomolecular analysis: From methods to applications
- [5] Dataset-aware multi-task learning approaches for biomedical named entity recognition
- [6] A span-based joint model for extracting entities and relations of bacteria biotopes
- [7] Parasitologist-level classification of apicomplexan parasites and host cell with deep cycle transfer learning (DCTL)
- [8] Discovery of G-quadruplex-forming sequences in SARS-CoV-2
- [9] Biosensing detection of the SARS-CoV-2 D614G mutation
- [10] Predicting RNA structures and functions by artificial intelligence
- [11] AI-powered microscopy image analysis for parasitology: integrating human expertise
- [12] Deep learning for imaging and detection of microorganisms
- [13] Aptamers targeting SARS-COV-2: a promising tool to fight against COVID-19
- [14] Electrochemical approaches for breast cancer biomarkers: A voltammetric study of electrode potential scanning
- [15] Accelerating drug discovery, development, and clinical trials by artificial intelligence
- [16] Biomolecular interaction prediction: the era of AI
- [17] Rewired m6A epitranscriptomic networks link mutant p53 to neoplastic transformation
- [18] AI-empowered Super-Resolution Microscopy: A Revolution in Nanoscale Cellular Imaging
- [19] Single round evolution of RNA aptamers with GRAPE-LM