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Molecular Dynamic Simulation of the Self-Assembly of DAP12-NKG2C Activating Immunoreceptor Complex

Overview of attention for article published in PLOS ONE, August 2014
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Title
Molecular Dynamic Simulation of the Self-Assembly of DAP12-NKG2C Activating Immunoreceptor Complex
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0105560
Pubmed ID
Authors

Peng Wei, Lida Xu, Cheng-Dong Li, Fu-De Sun, Long Chen, Tianwei Tan, Shi-Zhong Luo

Abstract

The DAP12-NKG2C activating immunoreceptor complex is one of the multisubunit transmembrane protein complexes in which ligand-binding receptor chains assemble with dimeric signal-transducing modules through non-covalent associations in their transmembrane (TM) domains. In this work, both coarse grained and atomistic molecular dynamic simulation methods were applied to investigate the self-assembly dynamics of the transmembrane domains of the DAP12-NKG2C activating immunoreceptor complex. Through simulating the dynamics of DAP12-NKG2C TM heterotrimer and point mutations, we demonstrated that a five-polar-residue motif including: 2 Asps and 2 Thrs in DAP12 dimer, as well as 1 Lys in NKG2C TM plays an important role in the assembly structure of the DAP12-NKG2C TM heterotrimer. Furthermore, we provided clear evidences to exclude the possibility that another NKG2C could stably associate with the DAP12-NKG2C heterotrimer. Based on the simulation results, we proposed a revised model for the self-assembly of DAP12-NKG2C activating immunoreceptor complex, along with a plausible explanation for the association of only one NKG2C with a DAP12 dimer.

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Geographical breakdown

Country Count As %
Germany 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Master 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Chemistry 3 25%
Agricultural and Biological Sciences 1 8%
Physics and Astronomy 1 8%
Immunology and Microbiology 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 4 33%