Wang, Jin - Stony Brook University - Department of Chemistry

个人简介

B.S., (Physics) 1984, Jilin University, China Ph.D. (Astrophysics) 1991, University of Illinois Post Doctor Research Associate (Chemistry and Biological physics ), 1991-1996, University of Illinois

研究领域

Physics and Chemistry of Biomolecules, Systems Biology, Networks, & Nonequilibrium Statistical Mechanics A focus of my research is on the study of the fundamental mechanism of biomolecular folding and recognition, especially protein folding and protein-protein/protein-DNA interactions. Using modern statistical mechanics, molecular simulations and empirical information from protein database, energy landscapes of protein folding and recognition can be mapped. By further studying the detailed structure correlations of the landscape, the fundamental questions such as nucleations and nature of transition state ensemble can be answered for different proteins and biomolecular recognition complexes. The results of the study can be compared with the experiments. The energy landscape description of protein folding and recognition will also provide insight of new algorithms of structure prediction and drug design. Another focus of my research is on the study of the underlying principles of the systems biology and networks. In particular, I am interested in the nature of the robustness of the cellular networks in the noisy fluctuating environments. I am also interested in understanding and quantifying the dynamics and pathways of the biological networks. These studies should lead to optimal design and evolution of the networks and diseases. The third focus of my research is on non-equilibrium statistical mechanics. We explore the underlying landscape and flux responsible for the non-equilibrium dynamics. I am also interested in the reaction dynamics in complex environments, specifically biomolecular reactions and interactions where the reaction happens in a relatively fast or comparable time scale relative to the environmental fluctuations. A path integral formalism is developed for the full treatment of the problem. Potential application of this method includes electron transfer in proteins, ligand binding, reaction dynamics in complex solvents. I am also interested in the study of single molecule reaction dynamics. The single molecule detection provides us detailed picture of molecular reactions without ensemble average. It is also a sensitive probe to the local environments. It can help us to pin down the reaction pathways. Since the single molecule has only one sample, the statistical fluctuations normally ignored under the situation of large samples may not be neglected. Quantitative study of the statistics of single molecule reaction dynamics is very necessary and underway in order to understand the whole picture.

近期论文

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C.H. Li, J. Wang*. Landscape and flux reveal a new global view and physical quantification of mammalian cell cycle. Proc. Natl. Acad. Sci. USA. 111(39), 14130-14135 (2014) C.H. Li, J. Wang*. Quantifying the underlying landscape and paths of cancer. J. R. Soc. Interface. 11: 20140774. (2014) W. Wu , J. Wang*. Potential and Flux Field Landscape Theory. II. Non-Equilibrium Thermodynamics of Spatially Inhomogeneous Stochastic Dynamical Systems. J. Chem. Phys. 141, 105104 (2014) Z. Z. Lai, J. Jiang, S. Mukamel, J. Wang*. Exploring the protein folding dynamics of beta3s with two-dimensional ultraviolet (2DUV) spectroscopy. Isr. J. Chem. 54(8-9), 1394-1403(2014) L. Xu, K. Zhang, J. Wang*. Exploring the mechanisms of differentiation, dedifferentiation, reprogramming and transdifferentiation. PLoS ONE. 9(8): e105216 (2014) X.K. Chu, F. Liu, B. Maxwell, Y. Wang, Z.C. Suo, H.J. Wang, W. Han, J. Wang*. Dynamic conformational change regulates the protein-DNA recognition: An investigation on binding of a Y-family polymerase to its target DNA. PloS. Comp. Biol. 10(9): e1003804 (2014) X.K. Chu, J. Wang*. Specificity and affinity quantification of flexible recognition from underlying energy landscape topography. PloS. Comp. Biol. 10(8): e1003782. (2014) H.D. Feng, K. Zhang, J. Wang*. Non-equilibrium transition state rate theory. Chem. Sci. 5, 3761-3769 (2014) Z.D. Zhang, J. Wang*. Curl flux, coherence, and population landscape of molecular systems: Nonequilibrium quantum steady state, energy (charge) transport, and thermodynamics. J. Chem. Phys. 140, 245101 (2014). J Jiang*, Z Lai, J Wang*, S Mukamel*. Signatures of the Protein Folding Pathway in Two-Dimensional Ultraviolet Spectroscopy. J. Phys. Chem. Lett. 5 (8), 1341-1346. (2014) Z. Lai, K. Zhang, J. Wang*. Exploring multi-dimensional coordinate-dependent diffusion dynamics on the energy landscape of protein conformation change. Phys. Chem. Chem. Phys. 16 (14), 6486-6495. (2014) Y. Wang, S. Longhi, P. Roche , J. Wang*. Reply to Jensen and Blackledge: Dual quantifications of intrinsically disordered proteins by NMR ensembles and molecular dynamics simulations. Proc. Natl. Acad. Sci. USA. 111, E1559-E1559. (2014) L.Y. Guo, Z.Q. Yan, X.L. Zheng, Liang Hu, Y.L. Yang, J. Wang*. A comparison of various optimization algorithms of protein-ligand docking programs by fitness accuracy. J Mol. Model. 20(7):2251 (2014) Y. Wang, C. Tang, E.K. Wang, J. Wang*. PolyUbiquitin Chain Linkage Topology Selects the Functions From the Underlying Binding Landscape. PLoS Comput Biol 10(7): e1003691.(2014) F. Zhang, L.F. Xu, J. Wang*, The extinction differential induced virulence macroevolution. Chem. Phys. Lett. 599 , 38–43.(2014) L. Xu, F. Zhang, K. Zhang, E.K. Wang, J. Wang*. The Potential and Flux Landscape Theory of Ecology. PLoS ONE 9(1): e86746 (2014). W. Hong, J. Wang*, E.K. Wang*. Facile synthesis of PdAgTe nanowires with superior electrocatalytic activity. J. Power Sources. 272, 940-945. (2014). W. Hong, J. Wang*, E.K. Wang*. Synthesis of porous PdAg nanoparticles with enhanced electrocatalytic activity. Electrochem Commun. 40, 63-66. (2014) W. Hong, J. Wang*, E.K. Wang*. Dendritic Au/Pt and Au/PtCu Nanowires with Enhanced Electrocatalytic Activity for Methanol Electrooxidation. Small. 10(16), 3262-3265 (2014) W. Hong, J. Wang*, E.K. Wang*. Facile Synthesis of Highly Active PdAu Nanowire Networks as Self- supported electrocatalyst for ethanol electrooxidation. ACS Appl. Mater. Interfaces. 6, 9481−9487. (2014)