Jin Yi Wang

Affiliations: 
Institute of Biophysics, Chinese Academy of Sciences, Beijing, Beijing Shi, China 
Area:
visual learning and memory
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"Jin Wang"
Mean distance: 106866
 
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Publications

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Chu WT, Wang J. (2018) Quantifying the Intrinsic Conformation Energy Landscape Topography of Proteins with Large-Scale Open-Closed Transition. Acs Central Science. 4: 1015-1022
Zhao L, Lu HP, Wang J. (2018) Exploration of Multistate Conformational Dynamics upon Ligand Binding of a Monomeric Enzyme Involved in Pyrophosphoryl Transfer. The Journal of Physical Chemistry. B
Chu WT, Chu X, Wang J. (2017) Binding mechanism and dynamic conformational change of C subunit of PKA with different pathways. Proceedings of the National Academy of Sciences of the United States of America
Liu C, Wang T, Bai Y, et al. (2017) Electrostatic forces govern the binding mechanism of intrinsically disordered histone chaperones. Plos One. 12: e0178405
Chen C, Zhang K, Feng H, et al. (2015) Multiple coupled landscapes and non-adiabatic dynamics with applications to self-activating genes. Physical Chemistry Chemical Physics : Pccp
Jiang J, Lai Z, Wang J, et al. (2014) Signatures of the Protein Folding Pathway in Two-Dimensional Ultraviolet Spectroscopy. The Journal of Physical Chemistry Letters. 5: 1341-1346
Xu L, Zhang F, Zhang K, et al. (2014) The potential and flux landscape theory of ecology. Plos One. 9: e86746
Wang Y, Chu X, Longhi S, et al. (2013) Multiscaled exploration of coupled folding and binding of an intrinsically disordered molecular recognition element in measles virus nucleoprotein. Proceedings of the National Academy of Sciences of the United States of America. 110: E3743-52
Chu X, Gan L, Wang E, et al. (2013) Quantifying the topography of the intrinsic energy landscape of flexible biomolecular recognition. Proceedings of the National Academy of Sciences of the United States of America. 110: E2342-51
Xu L, Zhang F, Wang E, et al. (2013) The potential and flux landscape, Lyapunov function and non-equilibrium thermodynamics for dynamic systems and networks with an application to signal-induced Ca2+ oscillation Nonlinearity. 26
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