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.
引用
收藏
页码：191 / 211
页数：21
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