Academic Profile : Faculty
Assoc Prof Mu Yuguang
Associate Professor, School of Biological Sciences
Email
External Links
2006.4 - now Assistant Professor in School of Biological Sciences, NTU
2003.10 – 2006.3 Lee Kuan Yew Fellowship in School of Biological Sciences, NTU
2000.1 - 2003.9 Research Fellow (Wissenschaftlicher Mitarbeiter) in Institute of Theoretical Chemistry
Frankfurt am Main, Germany Biomolecular simulations and dynamics analyse,
cooperated with Prof. G. Stock and Prof. Peter Hamm
1999.1 - 2000.1 Alexander von Humboldt Fellow in Fraunhofer Institute of Integrated Systems and Device
Technology (IISB) Schottkystrasse 10, 91058 Erlangen, Germany cooperated with Prof.
Heiner Ryssel and Dr. Alex Burenkov. Simulation of atoms -solids interaction.
1997.7 - 1999.1 Lecturer , Department of photoelectronics, Shandong Univ.
2003.10 – 2006.3 Lee Kuan Yew Fellowship in School of Biological Sciences, NTU
2000.1 - 2003.9 Research Fellow (Wissenschaftlicher Mitarbeiter) in Institute of Theoretical Chemistry
Frankfurt am Main, Germany Biomolecular simulations and dynamics analyse,
cooperated with Prof. G. Stock and Prof. Peter Hamm
1999.1 - 2000.1 Alexander von Humboldt Fellow in Fraunhofer Institute of Integrated Systems and Device
Technology (IISB) Schottkystrasse 10, 91058 Erlangen, Germany cooperated with Prof.
Heiner Ryssel and Dr. Alex Burenkov. Simulation of atoms -solids interaction.
1997.7 - 1999.1 Lecturer , Department of photoelectronics, Shandong Univ.
Research Fields
1. MD simulation method and data analysis method development.
2. DNA dynamics, DNA ?protein, DNA-counterions interaction study.
3. Peptide, protein folding, unfolding study, specially aimed at folding, misfolding mechanism which could lead to amyloid fibril.
4. RNA dynamics and folding study.
1. MD simulation method and data analysis method development.
2. DNA dynamics, DNA ?protein, DNA-counterions interaction study.
3. Peptide, protein folding, unfolding study, specially aimed at folding, misfolding mechanism which could lead to amyloid fibril.
4. RNA dynamics and folding study.
- Activation Mechanism of A Protein Water Channel by Cardiolipin: Implications for the Fabrication of Block Copolymer Nanosheets
- Developing T2D Therapy: Hydrocarbon Stapled Antimicrobial Peptides as Novel Inhibitors of Toxic hIAPP Amyloids
- Improve protein-drug binding prediction using deep graph neural network
- Investigating Kindlin-3 as an Adaptor Protein that Modulates Interleukin 2 Receptor Localization and Signaling
- Predict the solubility of proteins using machine learning
- Structural variation and inhibition of key coronaviral ion channels
- Targeted protein design via constrained denoising diffusion probabilistic models
- Understanding the Role of Transglycosylase in Bacterial Cell Wall Synthesis
- Untangling cancer re-wiring: Pan-Cancer mapping of transcription factor driven dysregulatory hotspots using AlphaFold2 and integrative machine learning