Jinxiao Zhang – Protein Spectroscopy – Best Researcher Award

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Assist. Prof. Dr. Jinxiao Zhang - Protein Spectroscopy - Best Researcher Award 

Guilin University of Technology - China

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🎓 Early Academic Pursuits

Assistant Professor Dr. Jinxiao Zhang embarked on her academic journey with a strong foundation in chemistry, earning a B.Sc. in Chemistry from Guangxi Normal University, China, in July 2015. Her passion for scientific exploration and innovation led her to pursue a Ph.D. in Physical Chemistry at the prestigious University of Science and Technology of China, where she focused on theoretical simulations and molecular spectroscopy. Her early academic endeavors were driven by a keen interest in understanding complex molecular structures and their interactions, laying the groundwork for her groundbreaking research in protein spectroscopy.

💼 Professional Endeavors

Since July 2020, Dr. Jinxiao Zhang has been serving as an Associate Professor at the College of Chemistry and Bioengineering, Guilin University of Technology. Her academic career is characterized by a strong commitment to cutting-edge research and interdisciplinary studies, particularly in the integration of artificial intelligence with molecular spectroscopy. Her role as an educator and mentor has also allowed her to contribute significantly to the development of future researchers in the field.

🔬 Contributions and Research Focus

Dr. Zhang’s research is at the intersection of artificial intelligence, quantum chemistry, and molecular spectroscopy, with a particular emphasis on protein spectroscopy. Her studies have explored how computational simulations and AI-driven methodologies can enhance and accelerate molecular spectroscopy analyses. Additionally, her work delves into proteins and disease diagnosis, focusing on how molecular interactions influence disease mechanisms. Through advanced mechanism and structural design, her contributions have improved the accuracy and efficiency of spectroscopic simulations, making significant strides in the field.

🌍 Impact and Influence

Dr. Jinxiao Zhang’s pioneering research has had a profound impact on both theoretical and applied spectroscopy, particularly in protein spectroscopy. Her innovative approaches have led to advancements in disease diagnosis through AI-powered molecular analyses. Her influence extends beyond her institution, as she actively collaborates with global researchers in the fields of quantum chemistry and molecular dynamics, enhancing international scientific exchanges. Her contributions have made her a well-respected figure in computational chemistry and AI-driven spectroscopy.

🏆Academic Cites

Dr. Zhang’s work has been widely cited in top-tier journals, reflecting the significance of her contributions to protein spectroscopy and artificial intelligence in chemistry. Her studies serve as foundational references for researchers exploring AI-driven approaches to molecular spectroscopy and disease diagnosis. The growing number of citations she receives is a testament to the impact and relevance of her research in advancing modern spectroscopy techniques.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Jinxiao Zhang aims to push the boundaries of protein spectroscopy by further integrating artificial intelligence with molecular simulations. Her future contributions will likely revolutionize the field by enhancing diagnostic precision in disease-related protein studies. As an educator, she is committed to training the next generation of computational chemists and AI researchers, ensuring that her innovative approaches continue to shape the scientific landscape. Her legacy will be one of groundbreaking advancements in molecular spectroscopy, AI-driven diagnostics, and quantum chemistry applications.

📝Protein Spectroscopy

Dr. Jinxiao Zhang’s extensive research and expertise in protein spectroscopy have significantly advanced the field, particularly through AI-driven methodologies. Her work in protein spectroscopy has improved molecular diagnostics and enhanced the efficiency of computational simulations. The integration of artificial intelligence with protein spectroscopy continues to be a transformative force under her leadership, promising groundbreaking developments in molecular analysis and disease detection.

Notable Publication

📝Machine Learning-Based Two-Dimensional Ultraviolet Spectroscopy for Monitoring Protein Structures and Dynamics

Authors: S. Jiang, Songnan; J. Jiang, Jiale; T. Yan, Tong; L. Wang, Lu; J. Zhang, Jinxiao

Journal: Processes

Year: 2025

Citations: 0

📝DFT-based ¹¹B solid-state NMR calculations for guiding fine local structure identification and phase-property modulation in ZnxY₁−xBO₃-0.5x borate oxide ion conductors

Authors: Y. Gou, Yuan; X. Li, Xiaohui; X. Wang, Xiaoge; X. Xing, Xianran; X. Kuang, Xiaojun

Journal: Dalton Transactions

Year: 2024

Citations: 0

Gang Ren – Structural Biology – Best Researcher Award

Published on by AMO Physics

Dr. Gang Ren - Structural Biology - Best Researcher Award 

Lawrence Berkeley National Laboratory - United States 

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🎓 Early Academic Pursuits

Dr. Gang Ren's academic journey began with a Bachelor’s degree in Physics from Lanzhou University, China (1986-1990), followed by a Master’s in Theoretical Physics (1990-1993) from the same institution. He then pursued his Ph.D. in Electron Microscopy at the University of Science and Technology, Beijing, China (1993-1997). During this time, he honed his skills in imaging technologies, laying a strong foundation for his future work in structural biology.

💼 Professional Endeavors

Dr. Ren’s career is marked by impactful postdoctoral training and academic appointments. From 1997 to 2004, he conducted postdoctoral research at The Scripps Research Institute, focusing on cell biology. This was followed by a research associate position at Baylor College of Medicine’s National Center for Macromolecular Imaging (2004-2006). In 2006, he joined the University of California, San Francisco, as an Assistant Research Biochemist, eventually moving to the Lawrence Berkeley National Laboratory, where he has been a Career Staff Scientist since 2015. Throughout his career, his work has significantly advanced the field of structural biology.

🔬 Contributions and Research Focus

Dr. Ren has made groundbreaking contributions to structural biology, including the near-atomic resolution determination of the Aquaporin 1 water channel via cryo-electron crystallography. His innovative Individual-Particle Electron Microscopy (IPET) method has revolutionized single-molecule 3D structure determination without averaging, enabling unprecedented insights into macromolecular dynamics. His research group also developed techniques like cryo-electron positive staining (cryo-PS) and optimized 3D reconstruction methods, attracting over 30 collaborative groups and securing over $30 million in funding.

🌍 Impact and Influence

Dr. Ren’s work has had a profound impact on the scientific community, particularly in structural biology. His pioneering techniques have opened new avenues for understanding molecular processes within cellular environments. His discoveries, including the channel mechanism of Cholesteryl Ester Transfer Protein (CETP), have informed cardiovascular drug development and enhanced our understanding of macromolecular dynamics.

🏆Academic Cites

Dr. Ren’s research is extensively cited in leading scientific journals, reflecting its importance in advancing structural biology. His contributions, such as the elastic and inelastic scattering factors collected in the International Tables of Crystallography, have become foundational resources for researchers worldwide. The high citation count of his work underscores its significance and widespread influence.

🌟 Legacy and Future Contributions

Dr. Ren's legacy lies in his ability to bridge theoretical principles with practical applications in structural biology. Looking forward, he aims to further refine cryo-electron tomography methods and enhance molecular dynamic simulations to unravel the complexities of macromolecular processes. His work will undoubtedly continue to inspire and guide future generations of researchers in this pivotal field.

📝Structural Biology

Dr. Gang Ren has revolutionized structural biology with his development of innovative imaging techniques, including IPET and cryo-electron tomography. His contributions to structural biology have provided deep insights into macromolecular dynamics, influencing drug development and molecular research. Through advancements in structural biology, Dr. Ren’s legacy continues to shape the future of scientific discovery.

Notable Publication

📝Lysosomal Enzyme Binding to the Cation-Independent Mannose 6-Phosphate Receptor Is Regulated Allosterically by Insulin-Like Growth Factor 2

Authors: Bohnsack, R.N., Misra, S.K., Liu, J., Sharp, J.S., Dahms, N.M.

Journal: Scientific Reports

Year: 2024

Citations: 0

📝Non-Averaged Single-Molecule Tertiary Structures Reveal RNA Self-Folding Through Individual-Particle Cryo-Electron Tomography

Authors: Liu, J., McRae, E.K.S., Zhang, M., Andersen, E.S., Ren, G.

Journal: Nature Communications

Year: 2024

Citations: 0

📝Angle Between DNA Linker and Nucleosome Core Particle Regulates Array Compaction Revealed by Individual-Particle Cryo-Electron Tomography

Authors: Zhang, M., Díaz-Celis, C., Liu, J., Bustamante, C., Ren, G.

Journal: Nature Communications

Year: 2024

Citations: 3

📝Molecular Mechanism of Contactin 2 Homophilic Interaction

Authors: Fan, S., Liu, J., Chofflet, N., Ren, G., Rudenko, G.

Journal: Structure

Year: 2024

Citations: 1

📝Foam Fractionation Studies of Recombinant Human Apolipoprotein A-I

Authors: Lethcoe, K., Fox, C.A., Hafiane, A., Ren, G., Ryan, R.O.

Journal: Biochimica et Biophysica Acta - Biomembranes

Year: 2024

Citations: 0

📝Direct In Situ Measurements of Electrical Properties of Solid–Electrolyte Interphase on Lithium Metal Anodes

Authors: Xu, Y., Jia, H., Gao, P., Xu, W., Wang, C.

Journal: Nature Energy

Year: 2023

Citations: 31