Staff Profile

Biography

Dr. WANG Dan received her PhD degree from Department of Electronic Engineering, City University of Hong Kong in 2014. Afterwards, she pursued her research in multiple institutes, including City University of Hong Kong (2015 - Postdoc, 2019 - RF), Caritas Institute of Higher Education (2016 - RF), National University of Singapore (2017~2018 - RF) and University of Shanghai for Science and Technology (2020~2022 - AP). She is now working as an Assistant Professor in School of Science and Technology, Hong Kong Metropolitan University.

Dr. WANG Dan's research is focused on structural bioinformatics and health informatics. Detailed research topics include (1) Designing structure-based scoring functions (SFs) for protein-ligand binding-affinity prediction (BAP) in structure-based drug design, (2) Target-specific BAP and drug-efficacy exploration in studies of non-small-cell lung cancer (NSCLC) and (3) Data processing and knowledge mining in massive Electronic Medical Records (EMRs).

Teaching Areas & Research Interests

• Teaching Areas: Algorithms, Database, Programing Languages, AI
• Research Interests: Structural Bioinformatics, Structure-based Drug Design, Health Informatics

Academic & Professional Experience

• Associate Editor of Computational and Structural Biotechnology Journal
• Guest Editor of International Journal of Machine Learning and Cybernetics
• Program Committee member for IEEE International Conference on Machine Learning and Cybernetics
• Reviewer for a number of high-quality international journals and conferences

Selected Publications

Journal Articles

• Wang, Debby D., Wenhui Wu, and Ran Wang. "Structure-based, deep-learning models for protein-ligand binding affinity prediction." Journal of Cheminformatics 16, no. 1 (2024): 2.
• Wang, Debby D., and Moon-Tong Chan. "Protein-ligand binding affinity prediction based on profiles of intermolecular contacts." Computational and Structural Biotechnology Journal 20 (2022): 1088-1096.
• Wang, Debby D., Haoran Xie, and Hong Yan. "Proteo-chemometrics interaction fingerprints of protein–ligand complexes predict binding affinity." Bioinformatics 37, no. 17 (2021): 2570-2579.
• Wang, Debby D., Mengxu Zhu, and Hong Yan. "Computationally predicting binding affinity in protein–ligand complexes: free energy-based simulations and machine learning-based scoring functions." Briefings in bioinformatics 22, no. 3 (2021): bbaa107.
• Wang, Debby D., Moon-Tong Chan, and Hong Yan. "Structure-based protein–ligand interaction fingerprints for binding affinity prediction." Computational and Structural Biotechnology Journal 19 (2021): 6291-6300.
• Wang, Debby D., Le Ou-Yang, Haoran Xie, Mengxu Zhu, and Hong Yan. "Predicting the impacts of mutations on protein-ligand binding affinity based on molecular dynamics simulations and machine learning methods." Computational and structural biotechnology journal 18 (2020): 439-454.

Further Information

Link to Google Scholar page

Modified Date: 04 Nov, 2024
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