Log in to save to my catalogue

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 cyt...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3150948608

A framework integrating multiscale in-silico modeling and experimental data predicts CD33 CAR-NK cytotoxicity across target cell types

About this item

Full title

A framework integrating multiscale in-silico modeling and experimental data predicts CD33 CAR-NK cytotoxicity across target cell types

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2025-01

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

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

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