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Updated: Jul 13, 2025
Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
Published on: May 20, 2020
Ligand and structure based hierarchical virtual screening cascade for finding novel epidermal growth factor receptor
Donghui Huo1,2, Zhiqi Sun1, Maolin Wang3,4
1State Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Abstract:
The epidermal growth factor receptor (EGFR) tyrosine kinase plays an important role in tumor formation and growth by mediating cell growth and other physiological processes. Therefore, EGFR is a promising target for the treatment of cancer. In this work, we combined ligand-based and structure-based virtual screening methods to identify novel EGFR inhibitors from a library of more than 103 thousand compounds. We first obtained hundreds of compounds with similar physiochemical properties through 3D molecular shape and electrostatic similarity screening with potent inhibitors AEE788 and Afatinib as queries. Next, we identified compounds with strong binding affinities to the EGFR pocket through molecular docking, which makes good use of the structure information of the receptor. After molecular scaffold analysis, our bioassay confirmed 13 compounds with EGFR inhibitory activity and three compounds had IC50 values below 1000 nM. In addition, we collected 5371 EGFR inhibitors from online databases, and clustered them into 7 groups by K-means method using their ECFP4 fingerprints as input. Each cluster had typical molecular fragments and corresponding activity characteristics, which could guide the design of EGFR inhibitors, and we concluded that the fragments from some of the hits are indicated in the highly active scaffolds.
Insights
Researchers identified novel epidermal growth factor receptor (EGFR) inhibitors using virtual screening. Bioassays confirmed 13 active compounds, with three showing potent inhibitory activity, guiding future cancer drug design.
Area of Science:
- Oncology
- Medicinal Chemistry
- Computational Biology
Background:
- The epidermal growth factor receptor (EGFR) tyrosine kinase is crucial in tumor development.
- EGFR is a significant therapeutic target for various cancers.
Purpose of the Study:
- To identify novel EGFR inhibitors using integrated virtual screening methods.
- To analyze and cluster existing EGFR inhibitors to guide future drug design.
Main Methods:
- Combined ligand-based and structure-based virtual screening of over 103,000 compounds.
- Utilized 3D molecular similarity screening and molecular docking against EGFR.
- Performed bioassays to confirm inhibitory activity and analyzed clustered EGFR inhibitors.
Main Results:
- Identified 13 compounds exhibiting EGFR inhibitory activity.
- Three compounds demonstrated IC50 values under 1000 nM.
- Clustering of 5371 known EGFR inhibitors revealed typical molecular fragments and activity patterns.
Conclusions:
- The study successfully identified novel EGFR inhibitors with potential therapeutic value.
- The fragment analysis of identified inhibitors provides insights for designing more potent EGFR-targeting drugs.
- The clustering approach offers a valuable strategy for understanding structure-activity relationships in EGFR inhibitors.
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