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Referencias:

• Case, D., (2015) Amber 15, , University of California, San Francisco, CA
• Darre, L., Sirah: A structurally unbiased coarse-grained force field for proteins with aqueous solvation and long-range electrostatics (2015) J. Chem. Theory Comput., 11, pp. 723-739
• Duan, Y., A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations (2003) J. Comput. Chem., 24, pp. 1999-2012
• Heath, A., From coarse-grain to all-atom: Toward multiscale analysis of protein landscapes (2007) Proteins, 68, pp. 646-661
• Hills, R.D., Multiscale coarse-graining of the protein energy landscape (2010) PLoS Comput. Biol., 6, p. e1000827
• Monticelli, L., The martini coarse-grained force field: Extension to proteins (2008) J. Chem. Theory Comput., 4, pp. 819-834
• Rzepiela, A., Reconstruction of atomistic details from coarsegrained structures (2010) J. Comput. Chem., 31, pp. 1333-1343
• Saunders, M., Voth, G., Coarse-graining methods for computational biology (2013) Annu. Rev. Biophys., 42, pp. 73-93
• Tozzini, V., Mapping all-atom models onto one-bead coarsegrained models: General properties and applications to a minimal polypeptide model (2006) J. Chem. Theory Comput., 2, pp. 667-673
• Wassenaar, T.A., Going backward: A flexible geometric approach to reverse transformation from coarse grained to atomistic models (2014) J. Chem. Theory Comput., 10, pp. 676-690

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