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Published on: May 9, 2025
Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor
Uday Raj Akare1, Srinivas Bandaru2, Uzma Shaheen2
1Bioinformatics Research Laboratory, Eminent Biosciences, Vijaynagar, Indore - 452010, Madhya Pradesh, India.
Abstract:
Inappropriate activation of the Hh signaling pathway has been implicated in the development of several types of cancers including prostate, lung, pancreas, breast, brain and skin. Present study identified the binding affinities of eight established inhibitors viz., Cyclopamine, Saridegib, Itraconazole, LDE-225, TAK-441, BMS-833923 (XL139), PF-04449913 and Vismodegib targeting SMO receptor - a candidate protein involved in hedgehog pathway and sought to identify the best amongst the established inhibitors through by molecular docking. Exelxis® BMS 833923 (XL 139) demonstrated superior binding affinity aided by MolDock scoring docking algorithm. Further BMS 833923 (XL 139) was evaluated for pharmacophoric features which revealed appreciable ligand receptor interactions.
Insights
This study investigated hedgehog pathway inhibitors targeting the SMO receptor for cancer treatment. BMS-833923 (XL139) showed the strongest binding affinity, indicating potential as an effective cancer therapeutic.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Aberrant activation of the Hedgehog (Hh) signaling pathway is a key driver in various cancers, including prostate, lung, pancreas, breast, brain, and skin.
- The Smoothened (SMO) receptor is a critical component of the Hh pathway, making it a significant therapeutic target.
Purpose of the Study:
- To evaluate and compare the binding affinities of eight established Hh pathway inhibitors against the SMO receptor.
- To identify the most effective inhibitor among the tested compounds for potential cancer therapy.
Main Methods:
- Molecular docking simulations were employed to assess the binding affinities of eight inhibitors (Cyclopamine, Saridegib, Itraconazole, LDE-225, TAK-441, BMS-833923 (XL139), PF-04449913, and Vismodegib) to the SMO receptor.
- The MolDock scoring algorithm was utilized for quantitative assessment of binding.
- Pharmacophoric feature analysis was performed on the lead compound.
Main Results:
- Exelxis® BMS-833923 (XL139) exhibited the highest binding affinity to the SMO receptor, as determined by the MolDock scoring.
- Pharmacophoric evaluation of BMS-833923 (XL139) confirmed significant and favorable ligand-receptor interactions.
Conclusions:
- BMS-833923 (XL139) demonstrates superior binding affinity and favorable pharmacophoric characteristics, positioning it as a promising candidate for targeting the Hh pathway in cancer treatment.
- Further investigation into BMS-833923 (XL139) is warranted for its clinical development as an anti-cancer agent.
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