Amide-based derivatives of acridine display multifaceted anticancer targeting: An in silico-based mechanistic study

Context: The ongoing challenges with chemotherapy demand continuous efforts to discover new drug molecules. In this scenario, a multi-target approach could be of special advantage. This might not only decrease the likelihood of drug resistance but also ensure a broader spectrum and a multifaceted, convergent attack on tumor cells. In this context, anthracene-based compounds are of key interest. Aims: To explore the activity and hybrid nature of acridine-based derivatives. Methods: In silico approach was applied, and the compounds were tested against seven different protein targets playing significant roles in cancer pathogenesis. Results: Based on the binding affinities of the compounds, it was found that, in addition to being excellent intercalating agents, the compounds displayed high inhibition for several protein targets, most importantly tyrosine kinases. Specifically, the ligands with imidazole and hydroxyethyl amino groups were found to be potent against all targets except for EGFR and ROS. The docking scores of the tested compounds were higher than those of the standard drugs in many instances. In silico ADME prediction showed that all compounds fell within the prescribed ranges, thus making them ideal candidates for oral delivery. Conclusions: The proposed compounds not only demonstrated strong anticancer activity but also exhibited their activity through multiple pathways, thereby overcoming several therapeutic challenges currently faced.

Authors

Publication Details

Journal
Journal of Pharmacy & Pharmacognosy Research
Published
2024-11-04
DOI
https://doi.org/10.56499/jppres24.2086_13.2.578
Primary Topic
Cancer therapeutics and mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Amide-based derivatives of acridine display multifaceted anticancer targeting: An in silico-based mechanistic study

Saad Touqeer, Sedq A. Moutraji
Journal of Pharmacy & Pharmacognosy Research
Cancer therapeutics and mechanisms
article

Amide-based derivatives of acridine display multifaceted anticancer targeting: An in silico-based mechanistic study

Saad Touqeer, Sedq A. Moutraji
article en

Abstract

Context: The ongoing challenges with chemotherapy demand continuous efforts to discover new drug molecules. In this scenario, a multi-target approach could be of special advantage. This might not only decrease the likelihood of drug resistance but also ensure a broader spectrum and a multifaceted, convergent attack on tumor cells. In this context, anthracene-based compounds are of key interest. Aims: To explore the activity and hybrid nature of acridine-based derivatives. Methods: In silico approach was applied, and the compounds were tested against seven different protein targets playing significant roles in cancer pathogenesis. Results: Based on the binding affinities of the compounds, it was found that, in addition to being excellent intercalating agents, the compounds displayed high inhibition for several protein targets, most importantly tyrosine kinases. Specifically, the ligands with imidazole and hydroxyethyl amino groups were found to be potent against all targets except for EGFR and ROS. The docking scores of the tested compounds were higher than those of the standard drugs in many instances. In silico ADME prediction showed that all compounds fell within the prescribed ranges, thus making them ideal candidates for oral delivery. Conclusions: The proposed compounds not only demonstrated strong anticancer activity but also exhibited their activity through multiple pathways, thereby overcoming several therapeutic challenges currently faced.

Journal of Pharmacy & Pharmacognosy ResearchVol. 13(2)
Openalex Percentile: Top 82%
Cancer therapeutics and mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.