A framework integrating multiscale in-silico modeling and experimental data predicts CD33 CAR-NK cyt...
A framework integrating multiscale in-silico modeling and experimental data predicts CD33 CAR-NK cytotoxicity across target cell types
About this item
Full title
Author / Creator
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
Formats
Publication information
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Subjects
More information
Scope and Contents
Contents
Uncovering mechanisms and predicting tumor cell responses to CAR-NK cytotoxicity is essential for improving therapeutic efficacy. Currently, the complexity of these effector-target interactions and the donor-to-donor variations in NK cell receptor (NKR) repertoire require functional assays to be performed experimentally for each manufactured CAR-NK...
Alternative Titles
Full title
A framework integrating multiscale in-silico modeling and experimental data predicts CD33 CAR-NK cytotoxicity across target cell types
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3150948608
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3150948608
Other Identifiers
E-ISSN
2692-8205
DOI
10.1101/2024.12.31.630941
How to access this item
https://www.proquest.com/docview/3150948608?pq-origsite=primo&accountid=13902