A comprehensive computational approach for the identification of structure-based potential pharmacological candidates as selective AKR1B1 and AKR1B10 inhibitors: repurposing of purine alkaloids for the treatment of cancer-Reference-Cited by-同舟云学术

A comprehensive computational approach for the identification of structure-based potential pharmacological candidates as selective AKR1B1 and AKR1B10 inhibitors: repurposing of purine alkaloids for the treatment of cancer

Published:2022-10-10 Issue: Volume: Page:1-21
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Aziz Mubashir¹,Ejaz Syeda Abida¹,Tamam Nissren²,Siddique Farhan³⁴

Affiliation:

1. Department of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

2. Department of Physics, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

3. Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, Sweden

4. Department of Pharmacy, Royal Institute of Medical Sciences (RIMS), Multan, Pakistan

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2022.2127906

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4. BioSolveIT-SeeSAR. https://www.biosolveit.de/SeeSAR/Accessed 2 March 2022

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