Whole-Cell Models and Simulations in Molecular Detail

被引：44

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：

美国国家卫生研究院; 美国国家科学基金会;

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

页码：191 / 211

页数：21

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