Preprint Article Version 1 This version is not peer-reviewed

Molecular Docking Analysis, of Natural Compounds from Cold-Pressed and Essential Oils, Against Human Papillomavirus (HPV): Therapeutic Implications for Gynecological Viral Infections

Version 1 : Received: 13 August 2024 / Approved: 13 August 2024 / Online: 14 August 2024 (09:07:36 CEST)

How to cite: Dunjic, M.; Turini, S.; Nejkovic, L.; Sulovic, N.; Cvetkovic, S.; Dunjic, M.; Dunjic, K.; Dolovac, D. Molecular Docking Analysis, of Natural Compounds from Cold-Pressed and Essential Oils, Against Human Papillomavirus (HPV): Therapeutic Implications for Gynecological Viral Infections. Preprints 2024, 2024080987. https://doi.org/10.20944/preprints202408.0987.v1 Dunjic, M.; Turini, S.; Nejkovic, L.; Sulovic, N.; Cvetkovic, S.; Dunjic, M.; Dunjic, K.; Dolovac, D. Molecular Docking Analysis, of Natural Compounds from Cold-Pressed and Essential Oils, Against Human Papillomavirus (HPV): Therapeutic Implications for Gynecological Viral Infections. Preprints 2024, 2024080987. https://doi.org/10.20944/preprints202408.0987.v1

Abstract

This study investigates the use of artificial intelligence (AI) and ethnobotanical knowledge to identify natural compounds with potent antiviral activity against HPV-16. Through molecular docking simulations, we evaluated the binding affinities of various essential oil components, in-cluding Apigenin, against the key antigenic determinants of HPV-16 (E6, E7 oncoproteins, and L1 major capsid protein). Apigenin exhibited strong binding affinities, particularly to E6 Oncopro-tein. To further enhance these findings, we employed an AI-driven reverse engineering approach to predict a natural compound with superior efficacy. The AI identified Luteolin, a flavonoid with additional hydroxyl groups, as a promising candidate. Comparative docking studies demon-strated that Luteolin possesses significantly stronger binding affinities to all three HPV-16 targets, surpassing the efficacy of Apigenin. This work highlights the potential of AI in accelerating the discovery and optimization of natural antiviral agents, providing a powerful tool for pharmaco-logical and ethnopharmacological screenings. Our findings suggest that AI-guided identification of natural compounds can lead to the development of more effective antiviral therapies, warranting further experimental validation and potential synthesis in laboratory settings.

Keywords

HPV-16, Molecular Docking, Artificial Intelligence, Ethnobotany, Natural Compounds, Antiviral Agents, Luteolin, Apigenin, Pharmacological Screening, Ethnopharmacology, Computer Simula-tions, Laborator

Subject

Medicine and Pharmacology, Medicine and Pharmacology

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