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Updated: Jul 29, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
3D-QSAR, molecular docking, simulation dynamic and ADMET studies on new quinolines derivatives against colorectal
Reda El-Mernissi1, Ayoub Khaldan1, Soukaina Bouamrane1
1Molecular Chemistry and Natural Substances Laboratory, Faculty of Science, University Moulay Ismail, Meknes, Morocco.
Abstract:
Cancer is the uncontrolled spread of abnormal cells that results in abnormal tissue growth in the affected organ. One of the most important organs is exposed to the growth of colon cancer cells, which start in the large intestine (colon) or the rectum. Several therapeutic protocols were used to treat different kinds of cancer. Recently, several studies have targeted tubulin and microtubules due to their remarkable prefoliation. Also, recent research shows that quinoline compounds have significant efficacy against human colorectal cancer. So, the present work investigated the potential of thirty quinoline compounds as tubulin inhibitors using computational methods. A 3D-QSAR approach using two contours (CoMFA and CoMSIA), molecular docking simulation to determine the binding type of the complexes (ligand-receptor), molecular dynamics simulation and identifying pharmacokinetic characteristics were used to design molecules. For all compounds designed (T1-5), molecular docking was used to compare the stability by type of binding. The ADMET has been utilized for molecules with good stability in molecular docking (T1-3); these compounds have good medicinal characteristics. Furthermore, a molecular dynamics simulation (MD) at 100 ns was performed to confirm the stability of the T1-3 compounds; the molecules (T1-3) remained the most stable throughout the simulation. The compounds T1, T2 and T3 are the best-designed drugs for colorectal carcinoma treatments.Communicated by Ramaswamy H. Sarma.
Insights
Computational methods identified novel quinoline compounds (T1-T3) as potent tubulin inhibitors for colorectal cancer treatment. These compounds demonstrated stability and favorable medicinal properties in simulations, offering promising therapeutic potential.
Area of Science:
- Medicinal Chemistry
- Computational Biology
- Oncology
Background:
- Colorectal cancer is a significant health concern driven by uncontrolled cell growth.
- Tubulin and microtubules are emerging targets for cancer therapeutics.
- Quinoline compounds show promise against human colorectal cancer.
Purpose of the Study:
- To investigate the potential of thirty quinoline compounds as tubulin inhibitors.
- To design novel molecules with enhanced efficacy against colorectal cancer using computational methods.
Main Methods:
- Quantitative Structure-Activity Relationship (3D-QSAR) with CoMFA and CoMSIA.
- Molecular docking to assess ligand-receptor binding and complex stability.
- Molecular dynamics simulations (100 ns) to confirm compound stability.
- ADMET analysis for pharmacokinetic properties.
Main Results:
- Compounds T1, T2, and T3 exhibited high stability and favorable binding interactions.
- Molecular dynamics simulations confirmed the sustained stability of T1-T3.
- ADMET profiling indicated good medicinal characteristics for T1-T3.
Conclusions:
- The designed quinoline compounds T1, T2, and T3 are effective tubulin inhibitors.
- These compounds show significant potential as therapeutic agents for colorectal carcinoma.
- Computational approaches successfully identified promising drug candidates for colorectal cancer.
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