Discovery of thiazolidinedione-based pancreatic lipase inhibitors as anti-obesity agents: synthesis, <i>in silico</i> studies and pharmacological investigations-Reference-Cited by-同舟云学术

Discovery of thiazolidinedione-based pancreatic lipase inhibitors as anti-obesity agents: synthesis, in silico studies and pharmacological investigations

Published:2024-02-05 Issue: Volume: Page:1-23
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Dhiman Prashant¹,Yadav Nisha²,Auti Prashant S.²,Jaswal Shalini¹,Singh Gurpreet¹,Mehan Sidharth³,Ghosh Balaram⁴,Paul Atish T.²,Monga Vikramdeep⁵

Affiliation:

1. Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Moga, India

2. Laboratory of Natural Product Chemistry, Department of Pharmacy, Birla Institute of Technology and Science, Pilani (BITS Pilani), Pilani, India

3. Department of Pharmacology, ISF College of Pharmacy, Moga, India

4. Epigenetic Research Laboratory, Department of Pharmacy, Birla Institute of Technology and Science-Pilani, Hyderabad, India

5. Drug Design and Molecular Synthesis Laboratory, Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, VPO-Ghudda, Bathinda, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2310799

Reference53 articles.

1. Gastric lipase: an extremophilic interfacial enzyme with medical applications

2. Synthesis of new pyrazolyl-2, 4-thiazolidinediones as antibacterial and antifungal agents

3. Design, synthesis, biological evaluation and molecular modelling studies of oxoacetamide warhead containing indole-quinazolinone based novel hybrid analogues as potential pancreatic lipase inhibitors

4. Assessing structural insights into in-house arylsulfonyl L-(+) glutamine MMP-2 inhibitors as promising anticancer agents through structure-based computational modelling approaches

5. Quantitative structural assessments of potential meprin β inhibitors by non-linear QSAR approaches and validation by binding mode of interaction analysis

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