Ioan Andricioaei
Affiliations: | Chemistry | University of California, Irvine, Irvine, CA |
Area:
Theoretical Chemistry and BiophysicsWebsite:
http://www.faculty.uci.edu/profile.cfm?faculty_id=5491Google:
"Ioan Andricioaei"Bio:
http://um2017.org/faculty-history/faculty/ioan-andricioaei
Mean distance: 7.78 | S | N | B | C | P |
Cross-listing: MichiganTree
Parents
Sign in to add mentor| John E. Straub | grad student | 1999 | Boston University | |
| (Computer methods for enhanced sampling and global minimization for biomolecular systems) | ||||
| Martin Karplus | post-doc | 2003 | Harvard | |
Children
Sign in to add trainee| Dhiman Ray | grad student | 2018- | University of California (Irvine) |
| Aaron T. Frank | grad student | 2011 | UC Irvine |
| Ahmet Mentes | grad student | 2013 | UC Irvine |
| Gavin D. Bascom | grad student | 2014 | UC Irvine |
| Mahua Roy | grad student | 2014 | UC Irvine |
| Maryna Taranova | grad student | 2014 | UC Irvine |
| Prasanth P. Jose | post-doc | 2008-2010 | UC Irvine |
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Publications
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| Maghsoodi A, Chatterjee A, Andricioaei I, et al. (2019) How the phage T4 injection machinery works including energetics, forces, and dynamic pathway. Proceedings of the National Academy of Sciences of the United States of America |
| Chatterjee A, Maghsoodi A, Perkins NC, et al. (2019) Elastic continuum stiffness of contractile tail sheaths from molecular dynamics simulations. The Journal of Chemical Physics. 151: 185103 |
| Grazioli G, Andricioaei I. (2018) Advances in milestoning. I. Enhanced sampling via wind-assisted reweighted milestoning (WARM). The Journal of Chemical Physics. 149: 084103 |
| Grazioli G, Andricioaei I. (2018) Advances in milestoning. II. Calculating time-correlation functions from milestoning using stochastic path integrals. The Journal of Chemical Physics. 149: 084104 |
| Xu Y, McSally J, Andricioaei I, et al. (2018) Modulation of Hoogsteen dynamics on DNA recognition. Nature Communications. 9: 1473 |
| Grazioli G, Butts CT, Andricioaei I. (2017) Automated placement of interfaces in conformational kinetics calculations using machine learning. The Journal of Chemical Physics. 147: 152727 |
| Maghsoodi A, Chatterjee A, Andricioaei I, et al. (2017) Dynamic Model Exposes the Energetics and Dynamics of the Injection Machinery for Bacteriophage T4. Biophysical Journal. 113: 195-205 |
| Zhou H, Kimsey IJ, Nikolova EN, et al. (2016) m(1)A and m(1)G disrupt A-RNA structure through the intrinsic instability of Hoogsteen base pairs. Nature Structural & Molecular Biology |
| Frank AT, Andricioaei I. (2016) A Reaction Coordinate-Free Approach to Recovering Kinetics from Potential-Scaled Simulations: Application of Kramers' Rate Theory. The Journal of Physical Chemistry. B |
| Maghsoodi A, Chatterjee A, Andricioaei I, et al. (2016) A first model of the dynamics of the bacteriophage T4 injection machinery Journal of Computational and Nonlinear Dynamics. 11 |