<scp>kinCSM</scp> : Using graph‐based signatures to predict small molecule <scp>CDK2</scp> inhibitors-Reference-Cited by-同舟云学术

kinCSM : Using graph‐based signatures to predict small molecule CDK2 inhibitors

Published:2022-10-26 Issue:11 Volume:31 Page:
ISSN:0961-8368
Container-title:Protein Science
language:en
Short-container-title:Protein Science

Author:

Zhou Yunzhuo¹²³⁴,Al‐Jarf Raghad²³⁴,Alavi Azadeh²³⁴,Nguyen Thanh Binh¹²³⁴,Rodrigues Carlos H. M.¹²³⁴,Pires Douglas E. V.¹²³⁴⁵,Ascher David B.¹²³⁴^ORCID

Affiliation:

1. School of Chemistry and Molecular Biosciences University of Queensland Brisbane Queensland Australia

2. Structural Biology and Bioinformatics, Department of Biochemistry University of Melbourne Melbourne Victoria Australia

3. Systems and Computational Biology, Bio21 Institute University of Melbourne Melbourne Victoria Australia

4. Computational Biology and Clinical Informatics Baker Heart and Diabetes Institute Melbourne Victoria Australia

5. School of Computing and Information Systems University of Melbourne Melbourne Victoria Australia

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.4453

Reference40 articles.

1. The Human Kinome and Kinase Inhibition

2. Kinase-targeted cancer therapies: progress, challenges and future directions

3. Kinases and Cancer

4. A missense mutation in the MLKL brace region promotes lethal neonatal inflammation and hematopoietic dysfunction

5. DNA-PKcs structure suggests an allosteric mechanism modulating DNA double-strand break repair

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