Professor Qifeng Bai PhD
Professor, School Of Basic Medical Sciences ORCID: 0000-0001-7296-6187 · China
Editorial leadership for Journal of Big Data Research ISSN 2768-0207
Research interests
- Artificial Intelligence (Ai) For Drug Design
- Discovery Deep Learning
- Geometric Deep Learning Molecular Dynamics Simulations Computational Biology
- Cheminformatics
- And Biomedical Informatics Software Development For Drug Design
Biography
Professor Qifeng Bai is a distinguished computational scientist specializing in Artificial Intelligence (AI) for Drug Design and Computational Biology. His research centers on integrating deep learning, machine learning, and molecular dynamics simulation to accelerate new drug discovery. He is the lead developer of the MolAICal software tool, which utilizes AI and classical algorithms for 3D drug design. Dr. Bai's expertise in Biomedical Informatics and Cheminformatics focuses on studying the biological mechanisms of proteins and ligands to promote efficient pharmaceutical research.
Professional Background:
- Professor (Current, Since 2022) - School Of Basic Medical Sciences, Lanzhou University.
Achievements:
- Lead Developer of MolAICal software for 3D drug design.
- Associate Editor for Frontiers In Chemistry (Medicinal And Pharmaceutical Chemistry).
Current Research Projects:
- MolAICal Software Development: Continuously developing and improving the software for 3D structure-based drug design using deep learning.
- Antibody And Nanobody Design: Utilizing adaptive autoregressive diffusion approaches for designing active humanized antibodies.
Academic Profiles of Professor Qifeng Bai
Explore his academic and professional presence across trusted platforms:
Selected publications
- MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm 2020 cited 248×
- Application advances of deep learning methods for de novo drug design and molecular dynamics simulation 2021 cited 122×
- An adaptive graph learning method for automated molecular interactions and properties predictions 2022 cited 51×
- Investigation of ECD conformational transition mechanism of GLP-1R by molecular dynamics simulations and Markov state model 2019 cited 26×
- Geometric deep learning methods and applications in 3D structure-based drug design 2024 cited 25×
- Deep Learning in COVID-19 Diagnosis, Prognosis and Treatment Selection 2023 cited 20×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
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This journal is guided by Professor Qifeng Bai (Professor, School Of Basic Medical Sciences ORCID: 0000-0001-7296-6187) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.