TY - CHAP
T1 - MFCC-Based Fragmentation Methods for Biomolecules
AU - Liu, Jinfeng
AU - Zhu, Tong
AU - He, Xiao
AU - Zhang, John Z.H.
N1 - Publisher Copyright:
© 2017 John Wiley & Sons, Ltd. All rights reserved.
PY - 2017/6/21
Y1 - 2017/6/21
N2 - This chapter describes the molecular fractionation with conjugate caps (MFCC)-based fragmentation methods and their applications to biological systems. To account for the environmental polarization effect for each fragment calculation, electrostatic embedding was introduced into the GMFCC/molecular mechanics (MM) method which became the latest electrostatically embedded generalized molecular fractionation with conjugate caps (EE-GMFCC) method for more accurate calculation of the protein energy. The EE-GMFCC method is computationally efficient and linear-scaling with a low prefactor, and has been successfully applied to protein geometry optimization, molecular dynamics simulation, protein-ligand binding affinity calculation, and protein vibrational spectrum calculation at QM levels. The chapter combines the more accurate EE-GMFCC method with the CPCM model, denoted as EE-GMFCC-CPCM, for accurate calculation of protein solvation energy. To reduce the computational cost, the mechanical embedded (ME)-quantum mechanical (QM)/MM approach is used to describe the protein dynamics in explicit solvent while the water molecules are described by mechanical mechanics.
AB - This chapter describes the molecular fractionation with conjugate caps (MFCC)-based fragmentation methods and their applications to biological systems. To account for the environmental polarization effect for each fragment calculation, electrostatic embedding was introduced into the GMFCC/molecular mechanics (MM) method which became the latest electrostatically embedded generalized molecular fractionation with conjugate caps (EE-GMFCC) method for more accurate calculation of the protein energy. The EE-GMFCC method is computationally efficient and linear-scaling with a low prefactor, and has been successfully applied to protein geometry optimization, molecular dynamics simulation, protein-ligand binding affinity calculation, and protein vibrational spectrum calculation at QM levels. The chapter combines the more accurate EE-GMFCC method with the CPCM model, denoted as EE-GMFCC-CPCM, for accurate calculation of protein solvation energy. To reduce the computational cost, the mechanical embedded (ME)-quantum mechanical (QM)/MM approach is used to describe the protein dynamics in explicit solvent while the water molecules are described by mechanical mechanics.
KW - CPCM model
KW - Energy calculation
KW - MFCC-based fragmentation methods
KW - Mechanical embedded-quantum mechanical approach
KW - Molecular mechanics
KW - Protein geometry optimization
KW - Protein solvation energy
KW - Protein-ligand binding energy
KW - Vibrational spectrum
UR - https://www.scopus.com/pages/publications/85052942778
U2 - 10.1002/9781119129271.ch11
DO - 10.1002/9781119129271.ch11
M3 - 章节
AN - SCOPUS:85052942778
SN - 9781119129240
SP - 323
EP - 348
BT - Fragmentation
PB - wiley
ER -