In-silico design novel phenylsulfonyl furoxan and phenstatin derivatives as multi-target anti-cancer inhibitors based on 2D-QSAR, molecular docking, dynamics and ADMET approaches-Reference-Cited by-同舟云学术

In-silico design novel phenylsulfonyl furoxan and phenstatin derivatives as multi-target anti-cancer inhibitors based on 2D-QSAR, molecular docking, dynamics and ADMET approaches

Published:2024-03-13 Issue:6 Volume:50 Page:470-492
ISSN:0892-7022
Container-title:Molecular Simulation
language:en
Short-container-title:Molecular Simulation

Author:

Guendouzi Abdelmadjid¹²^ORCID,Belkhiri Lotfi²³^ORCID,Djelti Farah⁴^ORCID,Zendaoui Zineddine Mohamed²^ORCID,Brahim Houari⁵^ORCID,Guendouzi Abdelkrim⁵^ORCID,Djekoun Abdelhamid²^ORCID,Boucekkine Abdou⁶^ORCID

Affiliation:

1. Ecole Normale Supérieure ENS Assia Djebar Constantine, Constantine, Algeria

2. Centre de Recherche en Sciences Pharmaceutiques CRSP, Constantine, Algeria

3. Laboratoire de Physique Mathématique et Subatomique LPMS, Département de Chimie, Université des Frères Mentouri, Constantine, Algeria

4. Département de biologie, Faculté des sciences de la nature et de la vie et sciences de la terre et de l’univers, Université de Tlemcen, Tlemcen, Algeria

5. Laboratoire de Chimie, Synthèse, Propriétés et Applications LCSPA, Faculté des Sciences, Université de Saida, Saida, Algeria

6. Univ Rennes, ISCR, UMR 6226 CNRS, Rennes Cedex, France

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08927022.2024.2326180

Reference76 articles.

1. Cancer statistics, 2023

2. Worldwide Burden, Risk Factors, and Temporal Trends of Ovarian Cancer: A Global Study

3. The Global Breast Cancer Initiative: a strategic collaboration to strengthen health care for non-communicable diseases

4. Structure-based pharmacophore mapping and virtual screening of natural products to identify polypharmacological inhibitor against c-MET/EGFR/VEGFR-2

5. Multitargeting Compounds: A Promising Strategy to Overcome Multi-Drug Resistant Tuberculosis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Ajuga Iva Extracts as Potential Candidates for Antidysmenorrhea Targeting Human COX2 and PGE2S‐1 through In Vitro and In Silico Drug Repurposing Approach;ChemistrySelect;2024-06-03