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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
In silico analysis of small molecule compounds based on pharmacophore- and backbone-leaping peroxiredoxin 1 (PRDX1)
Ningying Zheng1, Huiting Tan1, Tianli Lai1
1The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, Guangdong, China.
Abstract:
Abnormal expression of PRDX has been found to play a significant role in the growth of colorectal cancer and other types of tumors. Despite the identification of several PRDX1 inhibitory compounds in recent years, none of them have been utilized in clinical treatments. Therefore, we conducted a virtual screening of 210,331 small molecules from the SPECS library using PRDX1 and multiple methods. From this screening, we identified 13 compounds with the highest scores from the molecular docking analysis. To further validate the accuracy of our pharmacophore model, we constructed a structure-based pharmacophore model and analyzed the receiver operating characteristic curve (ROC curve). Through this process, we selected nine compounds using skeleton jumping and virtual screening based on the highest pharmacophore model scores. Subsequently, we examined the ADMET properties of these nine compounds to assess their drug-forming potential, resulting in three compounds with the best drug properties. Finally, we assessed the binding stability of these three candidate molecules to proteins using molecular dynamics and MM-PBSA calculations. After a comprehensive evaluation, we found that compounds 6 and 9 formed stable complexes with PRDX1 proteins and could potentially serve as competitive inhibitors of PRDX1 substrates.
Insights
Researchers screened over 200,000 molecules to find new drugs targeting PRDX1, a protein involved in cancer growth. Compounds 6 and 9 showed stable binding to PRDX1, indicating potential as competitive inhibitors for cancer treatment.
Area of Science:
- Biochemistry
- Medicinal Chemistry
- Computational Drug Discovery
Background:
- Peroxiredoxins (PRDX) are crucial in cancer progression, particularly colorectal cancer.
- Existing PRDX1 inhibitors lack clinical application, necessitating novel therapeutic strategies.
Purpose of the Study:
- To identify novel small molecules that can inhibit Peroxiredoxin 1 (PRDX1) activity.
- To evaluate the drug-likeness and binding stability of potential PRDX1 inhibitors.
Main Methods:
- Virtual screening of 210,331 small molecules using molecular docking and pharmacophore modeling.
- Structure-based pharmacophore model validation using ROC curve analysis.
- ADMET property prediction, molecular dynamics, and MM-PBSA calculations for stability assessment.
Main Results:
- Identified 13 top-scoring compounds via molecular docking.
- Selected nine compounds based on pharmacophore model scores and skeleton jumping.
- Filtered down to three compounds with favorable ADMET properties.
- Compounds 6 and 9 demonstrated stable binding complexes with PRDX1 proteins.
Conclusions:
- Compounds 6 and 9 show significant potential as competitive inhibitors of PRDX1.
- These compounds could be developed into novel therapeutic agents for PRDX1-related cancers.
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