Sichuan University, China
Author Profile
Scopus
🎓 Academic Background
Yanzhi Guo began her academic journey at Yantai University, Yantai, China, where she pursued a Bachelor’s degree in Applied Chemistry from 1999 to 2003. Motivated by a growing interest in computational sciences applied to chemistry and biology, she continued her higher education at Sichuan University in Chengdu, China. There, she earned her Ph.D. in Chemoinformatics and Bioinformatics between 2003 and 2008, focusing on the integration of informatics tools in chemical and biological research.
🧑🏫 Professional Experience
Dr. Guo has been a dedicated member of the College of Chemistry at Sichuan University for over a decade. She started her professional career as a Senior Lecturer in July 2008, serving in that role until June 2014. In July 2014, she was promoted to the position of Associate Professor, a role she continues to hold. Throughout her tenure, she has made significant contributions to both teaching and research, guiding students in the emerging intersections of chemistry, informatics, and artificial intelligence.
🔬 Research Interests & Contributions
Dr. Yanzhi Guo’s research lies at the forefront of AI-powered computational sciences, with a strong emphasis on applications in Cheminformatics, Bioinformatics, and Medical Informatics. Her work explores the development and application of machine learning and deep learning algorithms to solve complex challenges in multi-omics data analysis, disease network modeling, and drug design. She actively contributes to the field of AI-assisted drug discovery, aiming to streamline and enhance the efficiency of drug development processes using intelligent informatics approaches. Furthermore, she extends her expertise to the design and intelligent analysis of functional materials, demonstrating a versatile application of AI in both biological and material sciences.
Publications Top Noted📝
📝A Consensual Machine-Learning-Assisted QSAR Model for Effective Bioactivity Prediction of Xanthine Oxidase Inhibitors Using Molecular Fingerprints
Authors: Wu, Yanling; Li, Menglong; Shen, Jinru; Pu, Xuemei; Guo, Yanzhi
Journal: Molecular Diversity
Year: 2024
📝Computational Insights into Diverse Binding Modes of the Allosteric Modulator and Their Regulation on Dopamine D1 Receptor
Authors: Chen, Jianfang; Song, Yuanpeng; Ma, Luhan; Huang, Yan; Pu, Xuemei
Journal: Computers in Biology and Medicine
Year: 2024
📝Exploring an Accurate Machine Learning Model to Quickly Estimate Stability of Diverse Energetic Materials
Authors: Gou, Qiaoling; Liu, Jing; Su, Haoming; Zhao, Xueyan; Pu, Xuemei
Journal: iScience
Year: 2024
📝HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network
Authors: He, Jian; Li, Menglong; Qiu, Jiangguo; Pu, Xuemei; Guo, Yanzhi
Journal: Journal of Chemical Information and Modeling
Year: 2024
📝Cocrystal Prediction Tool (CCPT): A Web Server for Deep Learning-Assisted Cocrystal Screening and Density Evaluation
Authors: Guo, Jiali; Yang, Songran; Wang, Chenghui; Zhao, Xueyan; Pu, Xuemei
Journal: Crystal Growth and Design
Year: 2024