Samuel (Sam) S. Cho
Jump to: [Professional Experience] - [Education] - [Awards] - [Publication List]
Contact Information
Wake Forest University
Departments of Physics and Computer Science
Winston-Salem, NC 27109
Office: (336) 758-3922
choss@wfu.edu
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Professional Experience
Wake Forest University
Assistant Professor
Department of Physics
Department of Computer Science
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2010-Present
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University of Maryland
Post-Doctoral Research Fellow
Advisor: Devarajan (Dave) Thirumalai
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2007-2010
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University of California, San Diego
Doctoral Research Fellow
Advisor: Peter G. Wolynes
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2001-2007
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University of Maryland, Baltimore,
School of Pharmacy
Undergraduate Research Fellow
Advisor: Alexander D. Mackerell, Jr.
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2000-2001
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Education
University of California, San Diego
- Ph.D., Physical Chemistry (2007)
- M.S., Chemistry (2003)
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2001-2007 |
University of Maryland, Baltimore County
- B.S., Molecular Biology and Biochemistry (2001)
- B.S., Computer Science (2001)
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1996-2001 |
Awards and Honors
Shively Family Faculty Fellowship (WFU) |
2014-2017 |
NIH (NRSA) Post-Doctoral Research Fellowship (UMd) |
2007-2010 |
Molecular Biophysics Training Program (UCSD) |
2003-2005 |
Teaching Assistant Excellence Award (UCSD) |
2003 |
President's Scholar Award (UMBC) |
1996-2000 |
Publication List
(underlined names are graduate students and italicized names are undergraduates mentored by the PI)
32. Li W, Lucioni T, Li R, Bonin K, Cho SS, Guthold M. Stretching single fibrin fibers hampers their lysis, Acta Biomaterialia, 2017, 60:264-274.
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31. Li R, Stevens CA, Cho SS. Molecular dynamics simulations of protein-nanoparticle biocorona formation. Modeling, Methodologies and Tools for Molecular and Nano-scale Communications, Eds. Junichi Suzuki, Tadashi Nakano, Michael J. Moore, 2017, 241-256, Springer Publishing.
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30. Li R, Macnamara, LM, Leuchter JD, Alexander RW, Cho SS. MD Simulations of tRNA and Aminoacyl-tRNA Synthetases: Dynamics, Folding, Binding, and Allostery. International Journal of Molecular Sciences, Special Issue: Functions of Transfer RNA, 2015, 16:15872-15902.
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29. Burg J, Pauca VP, Turkett W, Fulp E, Cho SS, Santago P, Cañas D, Gage HD. Engaging Non-Traditional Students in Computer Science through Socially-Inspired Learning and Sustained Mentoring. Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015, 639-644 (36% acceptance rate).
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28. Leuchter JD, Green AT, Gilyard J, Rambarat CG, Cho SS. Coarse-grained and atomistic MD simulations of RNA and DNA folding. Israel J. Chem. Special Issue: 2013 Nobel Prize in Chemistry: Computational Chemistry of Biomolecules, 2014, 54: 1152–1164.
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27. Cho SS, Pauca VP, Johnson D, James Y. Computational Thinking for the Rest of Us: A Liberal Arts Approach to Engaging Middle and High School Teachers with Computer Science Students. Proceedings of the Society for Information Technology and Teacher Education, 2014.
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26. Li R, Chen R, Chen P, Wen Y, Ke P, Cho SS. Computational and experimental characterizations of silver nanoparticle-apolipoprotein biocorona. J. Phys. Chem. B, 2013, 117, 13451-13456.
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25. Proctor AJ, Stevens CA, Cho SS. GPU-optimized hybrid neighbor/cell list algorithm for coarse-grained MD simulations of protein and RNA folding and assembly. Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2013, 633-640. (29% acceptance rate)
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24. Li R, Ge H, Cho SS. Sequence-dependent base stacking interactions guide tRNA folding energy landscapes. J. Phys. Chem. B, 2013, 117, 12943-12952.
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23. Proctor AJ, Lipscomb TJ, Zou A, Anderson AJ, Cho SS. GPU-optimized coarse-grained MD simulations of protein and RNA folding and assembly. ASE Science Journal, 2012, 1, 1-11. (3.9% acceptance rate)
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22. Proctor AJ, Lipscomb TJ, Zou A, Anderson AJ, Cho SS. Performance analyses of a parallel Verlet neighbor list algorithm for GPU-optimized MD simulations. Proceedings of the ASE/IEEE International Conference on Biomedical Computing, 2012, 14-19. (7.5% acceptance rate, Best Paper Award)
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21. Lipscomb TJ, Zou A, Cho SS. Parallel Verlet neighbor list algorithm for GPU-optimized MD simulations. Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2012, 321-328. (21% acceptance rate) Highlighted by GPU Science (link) |
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20. Koculi E, Cho SS, Desai R, Thirumalai D, Woodson SA. Folding path of P5abc RNA involves direct coupling of secondary and tertiary structures. Nucl. Acid Res., 2012, 40, 1-10. |
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19. Guthold M, Cho SS. Fibrinogen unfolding mechanisms are not too much of a stretch. Structure, 2011, 19, 1536-1538. |
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18. Biyun S, Cho SS, Thirumalai D. Folding of human telomerase RNA pseudoknot using ion-jump and temperature quench simulations. J. Amer. Chem. Soc. 2011, 133, 20634–20643. Highlighted by J. Amer. Chem. Soc. (link) |
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17. Cho SS, Reddy G, Straub JE, Thirumalai D. Molecular mechanism for the entropic stabilization of proteins by TMAO. J. Phys. Chem. B 2011, 115, 13401-13407. |
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16. Patro R, Ip CY, Bista S, Cho SS, Thirumalai D, Varshney A. MDMap : A system for data-driven layout and exploration of molecular dynamics simulations. IEEE Symposium on Biological Data Visualization, 2011, 111-118. |
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15. Cho SS, Pincus DL, Thirumalai D. Assembly mechanisms of RNA pseudoknots are determined by the stabilities of the constituent secondary structures. Proc. Natl. Acad. Sci., USA. 2009, 106 (41):17349-17354. |
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14. Cho SS, Levy Y, Wolynes PG. Quantitative criteria for
native energetic heterogeneity influences in the prediction of protein folding
kinetics. Proc. Natl. Acad. Sci., USA. 2009, 106 (2):434-439. |
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13. Lenz P, Cho SS, Wolynes PG. Analysis of single molecule
folding studies with replica correlation functions. Chem. Phys. Lett. 2009, 471 (4-6):310-314. |
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12. Pincus DL, Cho SS, Hyeon C, Thirumalai D, Minimal models
for protein and RNA: From folding to function, Chapter 6 in Progress in Molecular Biology and Translational Science edited by
P. Michael Conn, 2008, Academic Press, Vol. 84. |
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11. Cho SS, Weinkam P, Wolynes PG. Origins of barriers and
barrierless folding of BBL. Proc. Natl. Acad. Sci., USA. 2008, 105 (1):118-123. |
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10. Ferreiro DU, Cervantes CF, Truhlar SME, Cho SS,
Wolynes PG, Komives EA. Stabilizing IkBa by 'consensus' design. J. Mol. Biol. 2007, 365 (4): 1201-1216. |
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9. Cho SS, Levy Y, Wolynes PG. P versus Q: Structural
reaction coordinates capture protein folding on smooth landscapes. Proc. Natl. Acad. Sci., USA. 2006, 103 (3): 586-591. |
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8. Ferreiro DU, Cho SS, Komives EA, Wolynes PG.
The energy landscape of modular repeat proteins: Topology determines
folding mechanism in the ankyrin family. J. Mol. Biol. 2005, 354 (4): 679-692. |
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7. Cho SS, Levy Y, Onuchic JN, Wolynes PG. Overcoming
residual frustration in domain-swapping: The roles of disulfide
bonds in dimerization and aggregation. Phys. Biol. 2005,
2: S44-S55. |
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6. Levy Y, Cho SS, Shen T, Onuchic JN, Wolynes
PG. Symmetry and frustration in protein energy landscapes: A near
degeneracy resolves the Rop dimer-folding mystery. Proc. Natl.
Acad. Sci., USA. 2005, 102 (7):2373-2378. |
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5. Levy Y, Cho SS, Onuchic JN, Wolynes PG. A
survey of flexible protein binding mechanisms and their transition
states using native topology based energy landscapes. J. Mol.
Biol. 2005, 346 (4): 1121-1145. |
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4. Yang SC, Cho SS, Levy Y, Cheung MS, Levine
H, Wolynes PG, Onuchic JN. Domain swapping is a consequence of
minimal frustration. Proc. Natl. Acad. Sci., USA. 2004,
101 (38): 13786-13791. |
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3. Wymore T, Hempel J, Cho SS, MacKerell AD,
Nicholas HB, Deerfield DW. Molecular recognition of aldehydes
by aldehyde dehydrogenase and mechanism of nucleophile activation. Proteins 2004, 57 (4): 758-771. |
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2. Pan YP, Huang N, Cho SS, MacKerell AD. Consideration
of molecular weight during compound selection in virtual target-based
database screening. J. Chem. Inf. Comp. Sci. 2003, 43
(1): 267-272. |
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1. Izaguirre G, Pietruszko R, Cho SS, MacKerell
AD. Human aldehyde dehydrogenase catalytic activity and structural
interactions with coenzyme analogs. J. Biomol. Struct. Dyn. 2001, 19(3):429-447. |
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