Comparing the Aggregation Free Energy Landscapes of Amyloid Beta(1-42) and Amyloid Beta(1-40).
Comparing the Aggregation Free Energy Landscapes of Amyloid Beta(1-42) and Amyloid Beta(1-40).
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DOI:
10.1021/jacs.7b08089
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发表时间:
2017-11-22
影响因子:
15
通讯作者:
Wolynes PG
中科院分区:
文献类型:
--
作者:
Zheng W;Tsai MY;Wolynes PG
Using a predictive coarse-grained protein force field, we compute and compare the free energy landscapes and relative stabilities of amyloid-β protein (1-42) and amyloid-β protein (1-40) in their monomeric and oligomeric forms up to the octamer. At the same concentration, the aggregation free energy profile of Aβ42 is more downhill, with a computed solubility that is about ten times smaller than that of Aβ40. At a concentration of 40 μM, the clear free energy barrier between the prefibrillar tetramer form and the fibrillar pentamer in the Aβ40 aggregation landscape disappears for Aβ42, suggesting that the Aβ42 tetramer has a more diverse structural range. To further compare the landcapes, we develop a cluster analysis based on the structural similarity between configurations and use it to construct an oligomerization map that captures the paths of easy interconversion between different but structurally similar states of oligomers for both species. A taxonomy of the oligomer species based on β-sheet stacking topologies is proposed. The comparison of the two oligomerization maps highlights several key differences in the landscapes that can be attributed to the two additional C-terminal residues that Aβ40 lacks. In general, the two terminal residues strongly stabilize the oligomeric structures for Aβ42 relative to Aβ40, and greatly facilitate the conversion from prefibrillar trimers to fibrillar tetramers.
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DOI:
10.1126/science.aao2825
发表时间:
2017-10-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Gremer L;Schölzel D;Schenk C;Reinartz E;Labahn J;Ravelli RBG;Tusche M;Lopez-Iglesias C;Hoyer W;Heise H;Willbold D;Schröder GF
通讯作者:
Schröder GF
影响因子:
2.9
作者:
Petkova, AT;Yau, WM;Tycko, R
通讯作者:
Tycko, R
DOI:
10.1073/pnas.1218402110
发表时间:
2013-06-11
影响因子:
11.1
作者:
Cohen, Samuel I. A.;Linse, Sara;Knowles, Tuomas P. J.
通讯作者:
Knowles, Tuomas P. J.
影响因子:
8.4
作者:
Cukalevski R;Yang X;Meisl G;Weininger U;Bernfur K;Frohm B;Knowles TPJ;Linse S
通讯作者:
Linse S
影响因子:
4.1
作者:
PLIMPTON, S
通讯作者:
PLIMPTON, S