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Journal Article|Research Support, Non-U.S. Gov't|Research Support, N.I.H., Extramural |
issn |
1553-7358 |
issueIdentifier |
5 |
pageRange |
e1010114- |
publicationName |
PLOS Computational Biology |
startingPage |
e1010114 |
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bibliographicCitation |
Grewal RK, Das J. Spatially resolved in silico modeling of NKG2D signaling kinetics suggests a key role of NKG2D and Vav1 Co-clustering in generating natural killer cell activation. PLoS Comput Biol. 2022 May 18;18(5):e1010114. doi: 10.1371/journal.pcbi.1010114. |
creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-0497-3742 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-9649-4698 |
date |
2022-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1371/journal.pcbi.1010114 https://pubmed.ncbi.nlm.nih.gov/PMC9154193 https://pubmed.ncbi.nlm.nih.gov/35584138 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/32534 https://portal.issn.org/resource/ISSN/1553-7358 |
language |
English |
source |
https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/ |
title |
Spatially resolved in silico modeling of NKG2D signaling kinetics suggests a key role of NKG2D and Vav1 Co-clustering in generating natural killer cell activation |
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