Identification of potential inhibitors of ATM kinase<i>:</i> pharmacoinformatics and molecular dynamics simulation approach-Reference-Cited by-同舟云学术

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Identification of potential inhibitors of ATM kinase: pharmacoinformatics and molecular dynamics simulation approach

Published:2023-01-19 Issue:5 Volume:49 Page:472-480
ISSN:0892-7022
Container-title:Molecular Simulation
language:en
Short-container-title:Molecular Simulation

Author:

Inchara Moodbagil C.¹,Mahmood Riaz¹,Kumaraswamy H.M.¹,Chandramohan Vivek²,Dammalli Manjunath²,Sharath R.³,Meghana P.¹,Sandeep Kumar Jain R.¹,Prashanth N.¹,Samartha J.R.¹

Affiliation:

1. Laboratory of Experimental Medicine, Department of PG Studies and Research in Biotechnology, Kuvempu University, Shankarghatta, India

2. Department of Biotechnology, Siddaganga Institute of Technology, Tumakuru, India

3. Department of Food Technology, Davangere University, Davangere, India

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,General Materials Science,General Chemical Engineering,Modeling and Simulation,Information Systems,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/08927022.2023.2165694

Reference41 articles.

1. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020

2. Basic Mechanisms of Therapeutic Resistance to Radiation and Chemotherapy in Lung Cancer

3. Functions and mechanisms of circular RNAs in cancer radiotherapy and chemotherapy resistance

4. ATM Serine/Threonine Kinase and its Role in Pancreatic Risk

5. Heart failure and diabetes: role of ATM

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