Log in to save to my catalogue

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2024_11_13_623385

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

About this item

Full title

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2024-11

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Cyclin-dependent kinase 7 (CDK7) plays a crucial role in cell cycle regulation and transcription, establishing it as a promising target for cancer therapy. Although the covalent inhibitor THZ1 effectively targets CDK7, it presents risks such as short half-life and potential off-target side effects. To address these limitations, we employed a comput...

Alternative Titles

Full title

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_biorxiv_primary_2024_11_13_623385

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_biorxiv_primary_2024_11_13_623385

Other Identifiers

ISSN

2692-8205

E-ISSN

2692-8205

DOI

10.1101/2024.11.13.623385

How to access this item