Abstract:
The fundamental object for studying a (bio)chemical reaction obtained from simulations is the free energy profile, which can be directly related to experimentally determined properties. Although quite accurate hybrid quantum (DFT based)-classical methods are available, achieving statistically accurate and well converged results at a moderate computational cost is still an open challenge. Here, we present and thoroughly test a hybrid differential relaxation algorithm (HyDRA), which allows faster equilibration of the classical environment during the nonequilibrium steering of a (bio)chemical reaction. We show and discuss why (in the context of Jarzynski;s Relationship) this method allows obtaining accurate free energy profiles with smaller number of independent trajectories and/or faster pulling speeds, thus reducing the overall computational cost. Moreover, due to the availability and straightforward implementation of the method, we expect that it will foster theoretical studies of key enzymatic processes. © 2014 American Chemical Society.
Registro:
Documento: |
Artículo
|
Título: | Improving efficiency in SMD simulations through a hybrid differential relaxation algorithm |
Autor: | Ramírez, C.L.; Zeida, A.; Jara, G.E.; Roitberg, A.E.; Martí, M.A. |
Filiación: | Departamento de Química Inorgánica, Analítica y Química Física, Argentina Departamento de Química Biológica, FCEN, UBA, Buenos Aires, C1428EGA, Argentina Instituto de Química Física de Los Materiales, Medio Ambiente y Energía, UBA-CONICET, Buenos Aires, C1428EGA, Argentina Quantum Theory Project, Department of Chemistry, University of Florida, Gainesville, FL 32611-7200, United States
|
Año: | 2014
|
Volumen: | 10
|
Número: | 10
|
Página de inicio: | 4609
|
Página de fin: | 4617
|
DOI: |
http://dx.doi.org/10.1021/ct500672d |
Título revista: | Journal of Chemical Theory and Computation
|
Título revista abreviado: | J. Chem. Theory Comput.
|
ISSN: | 15499618
|
CODEN: | JCTCC
|
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15499618_v10_n10_p4609_Ramirez |
Referencias:
- He, X., Merz, K.M.J., (2010) J. Chem. Theory Comput., 6 (2), p. 405411
- Stewart, J., (2009) J. Mol. Modeling, 15 (7), pp. 765-805
- Dixon, S., Merz, K., Jr., (1996) J. Chem. Phys., 104 (17), pp. 6643-6649
- Stewart, J., (2009) MOPAC2009, , http://openmopac.net, Stewart Computational Chemistry: Colorado Springs, CO, (accessed Sept. 12, 2014)
- Bash, P., Field, M., Karplus, M., (1987) J. Am. Chem. Soc., 109, pp. 8092-8094
- Warshel, A., Levitt, M., (1976) J. Mol. Biol., 103, pp. 227-249
- Warshel, A., (2003) Annu. Rev. Biophys. Biomol. Struct., 32, pp. 425-443
- Kumar, S., Rosenberg, J.M., Bouzida, D., Swendsen, R.H., Kollman, P.A., (1992) J. Comput. Chem., 13, pp. 1011-1021
- Laio, A., Parrinello, M., (2002) Proc. Natl. Acad. Sci. U.S.A., 99, pp. 12562-12566
- Hénin, J., Chipot, C., (2004) J. Chem. Phys., 121, pp. 2904-2914
- Zwanzig, R.W., (1954) J. Chem. Phys., 22, pp. 1420-1426
- Zheng, L., Chen, M., Yang, W., (2009) J. Chem. Phys., 130, p. 234105
- Jarzynski, C., (1997) Phys. Rev. Lett., 78, pp. 2690-2693
- Liphardt, J., Dumont, S., Smith, S.B., Tinoco, I.J., Bustamante, C., (2002) Science, 296, pp. 1832-1835
- Bennett, C.H., (1976) J. Comput. Phys., 22, pp. 245-268
- Crooks, G.E., (2000) Phys. Rev. e, 61, pp. 2361-2366
- Car, R., Parrinello, M., (1985) Phys. Rev. Lett., 55, pp. 2471-2474
- Woo, T.K., Margl, P., Blöchl, P.E., Ziegler, T., (2002) J. Phys. Chem. A, 106, pp. 1173-1182
- Tuckerman, M.E., Parrinello, M., (1994) J. Chem. Phys., 101, pp. 1302-1315
- Tuckerman, M.E., Berne, B.J., Martyna, G.J., (1992) J. Chem. Phys., 97, pp. 1990-2001
- Ozer, G., Valeev, E.F., Quirk, S., Hernandez, R., (2010) J.Chem. Theory Comput., 6, pp. 3026-3038
- Case, D.A., Darden, T.A., Cheatham, T.E.I., Simmerling, C.L., Wang, J., Duke, R.E., Luo, R., Kollman, P.A., (2012) AMBER 12, , University of California: San Francisco
- Hornak, V., Abel, R., Okur, A., Strockbine, B., Roitberg, A., Simmerling, C., (2006) Proteins, 65, pp. 712-725
- Jorgensen, W.L., Chandrasekhar, J., Madura, J.D., Impey, R.W., Klein, M.L., (1983) J. Chem. Phys., 79, pp. 926-935
- Crespo, A., Martí, M.A., Estrin, D.A., Roitberg, A.E., (2005) J. Am. Chem. Soc., 127, pp. 6940-6941
- Crespo, A., Scherlis, D.A., Martí, M.A., Ordejón, P., Roitberg, A.E., Estrin, D.A., (2003) J. Phys. Chem. B, 107, pp. 13728-13736
- Zeida, A., Babbush, R., González Lebrero, M.C., Trujillo, M., Radi, R., Estrin, D.A., (2012) Chem. Res. Toxicol., 25, pp. 741-746
- Cui, Q., Elstner, M., Kaxiras, E., Frauenheim, T., Karplus, M., (2001) J. Phys. Chem. B, 105, pp. 569-585
- Seabra, D.G.M., Walker, R.C., Elstner, M., Case, D.A., Roitberg, A.E., (2007) J. Phys. Chem. A, 111, pp. 5655-5664
- Nitsche, M.A., Ferreria, M., Mocskos, E.E., González Lebrero, M.C., (2014) J. Chem. Theory Comput., 10, pp. 959-967
- González Lebrero, M.C., Bikiel, D.E., Elola, M.D., Estrin, D.A., Roitberg, A.E., (2002) J. Chem. Phys., 117, pp. 2718-2725
- González Lebrero, M.C., Estrin, D.A., (2007) J. Chem. Theory Comput., 3, pp. 1405-1411
- Morzan, U.N., Ramírez, F.F., Oviedo, M.B., Sánchez, C.G., Scherlis, D.A., Lebrero, M.C.G., (2014) J. Chem. Phys., 140, pp. 164105-164114
- Götz, A.W., Clark, M.A., Walker, R.C., (2014) J. Comput. Chem., 35, p. 95108
- Kast, P., Tewari, Y.B., Wiest, O., Hilvert, D., Houk, K.N., Goldberg, R.N., (1997) J. Phys. Chem. B, 101, pp. 10976-10982
- Kast, P., Asif-Ullah, M., Hilvert, D., (1996) Tetrahedron Lett., 37, pp. 2691-2694
- Claeyssens, F., Ranaghan, K.E., Lawan, N., MacRae, S.J., Manby, F.R., Harvey, J.N., Mulholland, A., (2011) J. Org. Biomol. Chem., 9, pp. 1578-1590
- Chook, Y., Gray, J., Ke, W.H., Lipscomb, (1994) J. Mol. Biol., 240, pp. 476-500
- Arroyo-Mañez, P., Bikiel, D.E., Boechi, L., Capece, L., Di Lella, S., Estrin, D.A., Martí, M.A., Petruk, A.A., (2011) Biochim. Biophys. Acta, 1814, pp. 1054-1064
- Turjanski, A.G., Hummer, G., Gutkind, J.S., (2009) J. Am. Chem. Soc., 131, pp. 6141-6148
- Andrews, P.R., Smith, G.D., Young, I.G., (1973) Biochemistry, 18, pp. 3492-3498
- Xiong, H., Crespo, A., Marti, M., Estrin, D., Roitberg, A., (2006) Theor. Chem. Acc., 116, pp. 338-346
- Torras, J., De Seabra, G., Deumens, E., Trickey, S., Roitberg, A., (2008) J. Comput. Chem., 29, pp. 1564-1573
- Pohorille, A., Jarzynski, C., Chipot, C., (2010) J. Phys. Chem. B, 114, pp. 10235-10253
- Echeverria, I., Amzel, L.M., (2010) Proteins, 78, pp. 1302-1310
Citas:
---------- APA ----------
Ramírez, C.L., Zeida, A., Jara, G.E., Roitberg, A.E. & Martí, M.A.
(2014)
. Improving efficiency in SMD simulations through a hybrid differential relaxation algorithm. Journal of Chemical Theory and Computation, 10(10), 4609-4617.
http://dx.doi.org/10.1021/ct500672d---------- CHICAGO ----------
Ramírez, C.L., Zeida, A., Jara, G.E., Roitberg, A.E., Martí, M.A.
"Improving efficiency in SMD simulations through a hybrid differential relaxation algorithm"
. Journal of Chemical Theory and Computation 10, no. 10
(2014) : 4609-4617.
http://dx.doi.org/10.1021/ct500672d---------- MLA ----------
Ramírez, C.L., Zeida, A., Jara, G.E., Roitberg, A.E., Martí, M.A.
"Improving efficiency in SMD simulations through a hybrid differential relaxation algorithm"
. Journal of Chemical Theory and Computation, vol. 10, no. 10, 2014, pp. 4609-4617.
http://dx.doi.org/10.1021/ct500672d---------- VANCOUVER ----------
Ramírez, C.L., Zeida, A., Jara, G.E., Roitberg, A.E., Martí, M.A. Improving efficiency in SMD simulations through a hybrid differential relaxation algorithm. J. Chem. Theory Comput. 2014;10(10):4609-4617.
http://dx.doi.org/10.1021/ct500672d