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Whole-Cell Models and Simulations in Molecular Detail
被引:42
作者:
Feig, Michael
[1
,2
]
Sugita, Yuji
[2
,3
]
机构:
[1] Michigan State Univ, Dept Biochem & Mol Biol, E Lansing, MI 48824 USA
[2] RIKEN Ctr Biosyst Dynam Res, Lab Biomol Funct Simulat, Kobe, Hyogo 6500047, Japan
[3] RIKEN Cluster Pioneering Res, Theoret Mol Sci Lab, Wako, Saitama 3510198, Japan
来源:
ANNUAL REVIEW OF CELL AND DEVELOPMENTAL BIOLOGY, VOL 35
|
2019年
/
35卷
基金:
美国国家科学基金会;
美国国家卫生研究院;
关键词:
crowding;
systems biology;
protein structure;
molecular dynamics simulation;
network models;
PROTEIN-STRUCTURE DETERMINATION;
BROWNIAN DYNAMICS SIMULATIONS;
ENHANCED SAMPLING ALGORITHMS;
LIQUID PHASE-SEPARATION;
FORCE-FIELD;
HYDRODYNAMIC INTERACTIONS;
MEMBRANE-PROTEINS;
BIOLOGICAL-MEMBRANES;
DISORDERED PROTEINS;
HYBRID-PARALLEL;
D O I:
10.1146/annurev-cellbio-100617-062542
中图分类号:
Q2 [细胞生物学];
学科分类号:
071009 ;
090102 ;
摘要:
Comprehensive data about the composition and structure of cellular components have enabled the construction of quantitative whole-cell models. While kinetic network-type models have been established, it is also becoming possible to build physical, molecular-level models of cellular environments. This review outlines challenges in constructing and simulating such models and discusses near- and long-term opportunities for developing physical whole-cell models that can connect molecular structure with biological function.
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页码:191 / 211
页数:21
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