Professor, at Jilin University, China.
🎓 Jilong Zhang is a distinguished researcher at Jilin University, specializing in theoretical chemistry and computational biochemistry. His research focuses on molecular dynamics simulations, protein-ligand interactions, enzyme catalysis, and membrane transport mechanisms. His work has significantly contributed to understanding the biochemical processes underlying drug design and enzyme reactions. With multiple publications in high-impact journals, Jilong Zhang has established himself as an expert in the field. He has been a recipient of prestigious research grants and has collaborated extensively with scientists worldwide to advance computational chemistry.
Professional Profile
Scopus
ORCID
Education
🎓 Jilin University (Ph.D. in Theoretical Chemistry)
Jilong Zhang obtained his Ph.D. from Jilin University, where he specialized in molecular simulations and computational modeling of biochemical systems. His doctoral research focused on understanding the structural and dynamic behavior of biomolecules, particularly their interactions with enzymes and transport proteins. His academic journey also includes a robust foundation in quantum chemistry, statistical mechanics, and bioinformatics, which have shaped his innovative approach to computational chemistry. Throughout his education, he was actively involved in interdisciplinary projects bridging chemistry and life sciences.
Experience
đź’Ľ Research Scientist, Jilin University
Jilong Zhang has been actively engaged in theoretical and computational chemistry research, working on biomolecular dynamics, enzyme catalysis, and drug design. He has contributed to multiple high-impact research projects funded by prestigious organizations, including the Natural Science Foundation of China and the China Postdoctoral Science Foundation. His expertise in molecular modeling and simulation has enabled him to work on crucial biological and pharmaceutical challenges, collaborating with leading scientists globally.
Research Interests
🎡 Computational Biochemistry & Molecular Simulations
Jilong Zhang’s research interests center around applying computational chemistry techniques to study biomolecular systems. His work explores molecular interactions, enzyme reaction mechanisms, and small molecule transport across biological membranes. He is particularly interested in the kinetics of enzymatic reactions and the design of potential inhibitors for drug discovery. His studies on protein-ligand interactions provide critical insights into pharmaceutical applications, advancing the understanding of complex biochemical processes.
Awards & Recognitions
🏆 Natural Science Foundation of China (Grant No. 21203072, 22477041)
🏆 China Postdoctoral Science Foundation (Grant Nos. 2013T60320, 2013M541289)
Jilong Zhang has received several prestigious research grants for his contributions to theoretical and computational chemistry. His innovative work on molecular simulations has been recognized through numerous fellowships and awards, highlighting his impact on biochemistry and molecular modeling research.
Top Notes Publications
đź“„ Key Research Articles
- Zhang L, Song H, Yang Y, Zhou Z, Zhang J, Qu Z. (2024). “Ultrafast vibrational energy redistribution in cyclotrimethylene trinitramine (RDX).” Journal of Chemical Physics, 160(6): 064105.
- DOI: 10.1063/5.0184468
- Summary: This study investigates the microscopic mechanisms of energy transfer in RDX, a high-energy material. The authors introduce an effective vibrational Hamiltonian based on normal modes to study the energy transfer process. They find that energy redistribution in RDX occurs on an ultrafast timescale of approximately 25 femtoseconds, with rapid localization to specific vibrational modes. The findings provide insights into the energy release processes in high-energy materials.
- Wei D, Yuan L, Xu X, Wu C, Huang Y, Zhang L, Zhang J, Jing T, Liu Y, Wang B. (2024). “Exploring epigenetic dynamics unveils a super-enhancer-mediated NDRG1-β-catenin axis in modulating gemcitabine resistance in pancreatic cancer.” Cancer Letters, 605: 217284.
- DOI: 10.1016/j.canlet.2024.217284
- Summary: This research addresses the challenge of chemoresistance in pancreatic ductal adenocarcinoma (PDAC). The authors explore the dynamic epigenetic landscape during the development of gemcitabine resistance, focusing on super-enhancers and their regulatory effects. They identify the deactivation of the NDRG1 super-enhancer as a key event leading to the activation of WNT/β-catenin signaling, which contributes to gemcitabine resistance. The study provides valuable insights for developing therapeutic approaches against chemoresistance in PDAC.
- Wu J, Zhang H-X, Zhang J. (2023). “The molecular mechanism of non-covalent inhibitor WU-04 targeting SARS-CoV-2 3CLpro.” Physical Chemistry Chemical Physics, 25(35): 23555-23567.
- DOI: 10.1039/D3CP03123A
- Summary: This study elucidates the molecular mechanism of the non-covalent inhibitor WU-04 targeting the main protease (3CLpro) of SARS-CoV-2. Through computational simulations, the authors reveal how WU-04 binds to 3CLpro, providing insights into its inhibitory activity. The findings contribute to the understanding of potential therapeutic strategies against COVID-19.
- Wu J, Zhang H-X, Zhang J. (2023). “In silico design of miniprotein to inhibit SARS-CoV-2 variant Omicron spike protein.” Physical Chemistry Chemical Physics, 25(21): 14711-14725.
- DOI: 10.1039/D3CP01234B
- Summary: In this research, the authors employ computational methods to design a miniprotein capable of inhibiting the spike protein of the SARS-CoV-2 Omicron variant. The study provides a framework for the in silico design of miniproteins as potential therapeutic agents against emerging viral variants.
- Qu Z, Guo Y, Zhang J, Zhou Z. (2023). “Mesomerism induced temperature-dependent multicomponent phosphorescence emissions in ClBDBT.” Chemical Science, 14(37): 10096-10102.
- DOI: 10.1039/D3SC02145A
- Summary: This study explores the phenomenon of mesomerism-induced, temperature-dependent multicomponent phosphorescence emissions in a compound known as ClBDBT. The authors investigate the underlying mechanisms and potential applications of this unique photophysical behavior.
Conclusion
Jilong Zhang is a highly accomplished researcher with strong expertise in computational chemistry and biophysics. His publication record, funding, and research contributions make him a strong contender for a Best Researcher Award. However, for a more compelling nomination, he could focus on translating research into industry collaborations, securing patents, and engaging in leadership roles within the academic community. If the award prioritizes publication impact and theoretical advancements, he is a strong candidate; if it emphasizes applied innovation and leadership, he may need further accomplishments.