Computational identification and exploration of novel FGFR tyrosine kinase inhibitors for the treatment of cholangiocarcinoma-Reference-Cited by-同舟云学术

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Computational identification and exploration of novel FGFR tyrosine kinase inhibitors for the treatment of cholangiocarcinoma

Published:2023-10-28 Issue: Volume: Page:1-12
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Kaur Amanpreet¹,Mandal Debasish¹

Affiliation:

1. School of Chemistry and Biochemistry, Thapar Institute of Engineering and Technology, Patiala, India

Funder

the Department of Science and Technology, Government of India, for providing the INSPIRE Faculty Fellowship

Thapar Institute of Engineering and Technology SEED

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2274975

Reference47 articles.

1. Virtual screening, molecular dynamics, density functional theory and quantitative structure activity relationship studies to design peroxisome proliferator-activated receptor-γ agonists as anti-diabetic drugs

2. Drug metabolism and pharmacokinetics, the blood-brain barrier, and central nervous system drug discovery

3. Fibroblast growth factor receptor 2 tyrosine kinase fusions define a unique molecular subtype of cholangiocarcinoma

4. Role of Tyrosine Kinase Inhibitors in Cancer Therapy

5. Machine Learning Approaches to Improve Prediction of Target‐Drug Interactions

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