Molecular simulations unravel the molecular principles that mediate selective permeability of carboxysome shell protein.
Molecular simulations unravel the molecular principles that mediate selective permeability of carboxysome shell protein.
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分子模拟揭示了调节羧基体壳蛋白选择性渗透性的分子原理。
DOI:
10.1038/s41598-020-74536-5
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发表时间:
2020-10-15
影响因子:
4.6
通讯作者:
Liu LN
中科院分区:
文献类型:
--
作者:
Faulkner M;Szabó I;Weetman SL;Sicard F;Huber RG;Bond PJ;Rosta E;Liu LN
Bacterial microcompartments (BMCs) are nanoscale proteinaceous organelles that encapsulate enzymes from the cytoplasm using an icosahedral protein shell that resembles viral capsids. Of particular interest are the carboxysomes (CBs), which sequester the CO2-fixing enzymes ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) to enhance carbon assimilation. The carboxysome shell serves as a semi-permeable barrier for passage of metabolites in and out of the carboxysome to enhance CO2 fixation. How the protein shell directs influx and efflux of molecules in an effective manner has remained elusive. Here we use molecular dynamics and umbrella sampling calculations to determine the free-energy profiles of the metabolic substrates, bicarbonate, CO2 and ribulose bisphosphate and the product 3-phosphoglycerate associated with their transition through the major carboxysome shell protein CcmK2. We elucidate the electrostatic charge-based permeability and key amino acid residues of CcmK2 functioning in mediating molecular transit through the central pore. Conformational changes of the loops forming the central pore may also be required for transit of specific metabolites. The importance of these in-silico findings is validated experimentally by site-directed mutagenesis of the key CcmK2 residue Serine 39. This study provides insight into the mechanism that mediates molecular transport through the shells of carboxysomes, applicable to other BMCs. It also offers a predictive approach to investigate and manipulate the shell permeability, with the intent of engineering BMC-based metabolic modules for new functions in synthetic biology.
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影响因子:
8
作者:
Dryden, Kelly A.;Crowley, Christopher S.;Yeager, Mark
通讯作者:
Yeager, Mark
影响因子:
56.9
作者:
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DOI:
10.1107/s0907444904019158
发表时间:
2004-12-01
影响因子:
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通讯作者:
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DOI:
10.1073/pnas.1423672112
发表时间:
2015-03-10
影响因子:
11.1
作者:
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通讯作者:
Bobik, Thomas A.
DOI:
10.1073/pnas.2007990117
发表时间:
2020-07-21
影响因子:
11.1
作者:
Huang, Fang;Kong, Wen-Wen;Liu, Lu-Ning
通讯作者:
Liu, Lu-Ning