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Marchese, Francis T. (1990) Coordination numbers for biomolecular hydration: A quantitative method based on pattern recognition analysis of Monte Carlo simulations of aqueous solutions. Journal of Computational Chemistry, 11 (3). 374-381 doi:10.1002/jcc.540110312

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Reference TypeJournal (article/letter/editorial)
TitleCoordination numbers for biomolecular hydration: A quantitative method based on pattern recognition analysis of Monte Carlo simulations of aqueous solutions
JournalJournal of Computational Chemistry
AuthorsMarchese, Francis T.Author
Year1990 (April)Volume11
Issue3
PublisherWiley
DOIdoi:10.1002/jcc.540110312Search in ResearchGate
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Mindat Ref. ID3145536Long-form Identifiermindat:1:5:3145536:9
GUID0
Full ReferenceMarchese, Francis T. (1990) Coordination numbers for biomolecular hydration: A quantitative method based on pattern recognition analysis of Monte Carlo simulations of aqueous solutions. Journal of Computational Chemistry, 11 (3). 374-381 doi:10.1002/jcc.540110312
Plain TextMarchese, Francis T. (1990) Coordination numbers for biomolecular hydration: A quantitative method based on pattern recognition analysis of Monte Carlo simulations of aqueous solutions. Journal of Computational Chemistry, 11 (3). 374-381 doi:10.1002/jcc.540110312
In(1990, April) Journal of Computational Chemistry Vol. 11 (3) Wiley

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Kincaid, Robert H., Scheraga, Harold A. (1982) Acceleration of convergence in Monte Carlo simulations of aqueous solutions using the metropolis algorithm. Hydrophobic hydration of methane. Journal of Computational Chemistry, 3 (4). 525-547 doi:10.1002/jcc.540030410
Marchese, Francis T., Mehrotra, P. K., Beveridge, David L. (1984) Monte Carlo study of the aqueous hydration of formamide at 25.degree.C. The Journal of Physical Chemistry, 88 (23). 5692-5702 doi:10.1021/j150667a048
Jayaram, B., Mezei, M., Beveridge, D. L. (1987) Monte Carlo study of the aqueous hydration of dimethylphosphate conformations. Journal of Computational Chemistry, 8 (7). 917-942 doi:10.1002/jcc.540080702
Yamauchi, Masataka, Okumura, Hisashi (2019) Replica sub‐permutation method for molecular dynamics and monte carlo simulations. Journal of Computational Chemistry, 40 (31). 2694-2711 doi:10.1002/jcc.26030
Jorgensen, William L., Nguyen, Toan B. (1993) Monte Carlo simulations of the hydration of substituted benzenes with OPLS potential functions. Journal of Computational Chemistry, 14 (2). 195-205 doi:10.1002/jcc.540140207
Briggs, James M., Matsui, Tooru, Jorgensen, William L. (1990) Monte Carlo simulations of liquid alkyl ethers with the OPLS potential functions. Journal of Computational Chemistry, 11 (8). 958-971 doi:10.1002/jcc.540110808
Hongo, Kenta, Maezono, Ryo, Miura, Kenichi (2010) Random number generators tested on quantum Monte Carlo simulations. Journal of Computational Chemistry, 31 (11). 2186-2194 doi:10.1002/jcc.21509
Dumont, Randall S. (1991) A metropolis Monte Carlo method for computing microcanonical statistical rate constants. Journal of Computational Chemistry, 12 (3). 391-401 doi:10.1002/jcc.540120313
Khan, Malek O., Kennedy, Gareth, Chan, Derek Y. C. (2005) A scalable parallel Monte Carlo method for free energy simulations of molecular systems. Journal of Computational Chemistry, 26 (1). 72-77 doi:10.1002/jcc.20143
González-Lafont, A., Lluch, J. M., Oliva, A., Bertrán, J. (1988) Hydration of Fe+: A Monte Carlo simulation of water clusters and of a dilute aqueous solution. Journal of Computational Chemistry, 9 (8). 819-826 doi:10.1002/jcc.540090804
Walsh, T. R., Liang, T. (2009) A multipole-based water potential with implicit polarization for biomolecular simulations. Journal of Computational Chemistry, 30 (6). 893-899 doi:10.1002/jcc.21111
 
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