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E7 oncoprotein of human papillomavirus: Structural dynamics and inhibitor screening study
Murali Aarthy1, Deepak Kumar2, Rajanish Giri2
1Structural Bioinformatics and CADD Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.
Human papillomavirus (HPV) E7 oncoprotein drives cervical cancer. This study models HPV 16 E7, identifies disordered binding sites, and finds potential drug compounds targeting its structured region for new anti-HPV therapies.
Area of Science:
- Structural biology
- Virology
- Computational chemistry
Background:
- Human papillomavirus (HPV) is the primary cause of cervical cancer.
- The HPV E7 oncoprotein plays a crucial role in cellular transformation and cancer development.
- Understanding E7's structure and function is vital for developing anti-HPV agents.
Purpose of the Study:
- To investigate the evolutionary relationships of HPV E7.
- To generate a 3D homology model of HPV 16 E7.
- To identify potential therapeutic compounds targeting HPV E7.
Main Methods:
- 3D homology modeling of HPV 16 E7.
- Molecular dynamics simulations (100 ns) for stability and flexibility analysis.
- Molecular Recognition Features (MoRFs) analysis to identify disordered binding sites.
- Virtual screening and molecular dynamics simulations for lead compound identification and validation.
Main Results:
- A validated 3D homology model of full-length HPV 16 E7 was generated.
- Disordered-based binding sites on E7 were identified using MoRFs analysis.
- Potential lead compounds targeting the structured C-terminal region of E7 were identified and validated.
Conclusions:
- This study provides insights into the structural and functional aspects of HPV E7, including its disordered regions.
- Identified lead compounds show potential as therapeutic agents against HPV.
- The findings contribute to the development of novel anti-HPV drugs targeting E7 oncoprotein.
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