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High-Throughput Virtual Screening
High-Throughput Virtual Screening
Leveraging advanced computational tools (Discovery Studio, iGEMDOCK, AutoDock) to identify potent lead compounds from diverse natural product libraries.
Targeting obesity through molecular simulation
Targeting obesity through molecular simulation
Focusing on therapeutic targets such as GLP-1R and Beta 3-AR to develop innovative solutions for obesity and metabolic disorders.
Academic-Industrial Collaboration
Academic-Industrial Collaboration
Integrating academic research at National United University with the RAISE program to bridge the gap between lab-scale discovery and industrial application.
Professional Biography
Professional Biography
Dr. Yi-Chiao Lin(林逸喬) is an Adjunct Assistant Professor in the Department of Chemical Engineering at National United University. He earned his Ph.D. from the Graduate Institute of Biotechnology at National Chung Hsing University, specializing in molecular biotechnology and its applications in drug discovery.
With a multidisciplinary background in Computational Chemistry and Cell Biology, Dr. Lin has developed a comprehensive research platform that bridges the gap between in silico prediction and biological validation. His expertise lies in the integration of high-throughput virtual screening—utilizing tools such as Discovery Studio (LibDock), iGEMDOCK, AutoDock, and UCSF Chimera—with in vitro cell-based assays to evaluate the therapeutic potential of natural products.
Research Methodology & Computational Tools
Research Methodology & Computational Tools
Molecular Docking: Discovery Studio (LibDock), iGEMDOCK, AutoDock / AutoDock Vina.
Virtual Screening: High-throughput screening of natural product libraries using structure-based approaches.
Lead Discovery: Identification and binding mode analysis of bioactive compounds.
Visualization & Analysis: UCSF Chimera, PyMOL, and Discovery Studio Visualizer.
Analytical Chemistry: HPLC-MS/MS for natural product characterization.
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