共 96 条
Minimal coarse-grained models for molecular self-organisation in biology
被引:42
作者:

Hafner, Anne E.
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h-index: 0
机构:
UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England

Krausser, Johannes
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h-index: 0
机构:
UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England

Saric, Andela
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h-index: 0
机构:
UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England
机构:
[1] UCL, Inst Phys Living Syst, Dept Phys & Astron, London WC1E 6BT, England
基金:
英国工程与自然科学研究理事会;
英国惠康基金;
关键词:
KINETICS;
MECHANISMS;
PROTEINS;
DYNAMICS;
BINDING;
DRIVE;
D O I:
10.1016/j.sbi.2019.05.018
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
The molecular machinery of life is largely created via self-organisation of individual molecules into functional assemblies. Minimal coarse-grained models, in which a whole macromolecule is represented by a small number of particles, can be of great value in identifying the main driving forces behind self-organisation in cell biology. Such models can incorporate data from both molecular and continuum scales, and their results can be directly compared to experiments. Here we review the state of the art of models for studying the formation and biological function of macromolecular assemblies in living organisms. We outline the key ingredients of each model and their main findings. We illustrate the contribution of this class of simulations to identifying the physical mechanisms behind life and diseases, and discuss their future developments.
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页码:43 / 52
页数:10
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