Anticancer Effects of Abietane Diterpene 7α-Acetoxy-6β-hydroxyroyleanone from Plectranthus grandidentatus and Its Semi-Synthetic Analogs: An In Silico Computational Approach

Author:

Isca Vera M. S.1ORCID,Sitarek Przemysław2ORCID,Merecz-Sadowska Anna34ORCID,Małecka Magdalena5ORCID,Owczarek Monika6ORCID,Wieczfińska Joanna7ORCID,Zajdel Radosław38ORCID,Nowak Paweł3ORCID,Rijo Patricia19ORCID,Kowalczyk Tomasz10ORCID

Affiliation:

1. Center for Research in Biosciences & Health Technologies (CBIOS), Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisbon, Portugal

2. Department of Medical Biology, Medical University of Lodz, Muszynskiego 1, 90-151 Lodz, Poland

3. Department of Economic and Medical Informatics, University of Lodz, 90-214 Lodz, Poland

4. Department of Allergology and Respiratory Rehabilitation, Medical University of Lodz, 90-725 Lodz, Poland

5. Department of Physical Chemistry, Faculty of Chemistry, University of Lodz, Pomorska 163/165, 90-236 Lodz, Poland

6. Łukasiewicz Research Network, Lodz Institute of Technology, Skłodowskiej-Curie 19/27, 90-570 Lodz, Poland

7. Department of Immunopathology, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland

8. Department of Medical Informatics and Statistics, Medical University of Lodz, 90-645 Lodz, Poland

9. Instituto de Investigação do Medicamento (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, 1649-003 Lisbon, Portugal

10. Department of Molecular Biotechnology and Genetics, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237 Lodz, Poland

Abstract

The abietane diterpenoid 7α-acetoxy-6β-hydroxyroyleanone (Roy) isolated from Plectranthus grandidentatus demonstrates cytotoxicity across numerous cancer cell lines. To potentiate anticancer attributes, a series of semi-synthetic Roy derivatives were generated and examined computationally. ADMET predictions were used to evaluate drug-likeness and toxicity risks. The antineoplastic potential was quantified by PASS. The DFT models were used to assess their reactivity and stability. Molecular docking determined cancer-related protein binding. MS simulations examined ligand–protein stability. Additionally, network pharmacology was used to identify potential targets and signaling pathways. Favorable ADME attributes and acceptable toxicity profiles were determined for all compounds. Strong anticancer potential was shown across derivatives (Pa 0.819–0.879). Strategic modifications altered HOMO–LUMO gaps (3.39–3.79 eV) and global reactivity indices. Favorable binding was revealed against cyclin-dependent kinases, BCL-2, caspases, receptor tyrosine kinases, and p53. The ligand exhibited a stable binding pose in MD simulations. Network analysis revealed involvement in cancer-related pathways. In silico evaluations predicted Roy and derivatives as effective molecules with anticancer properties. Experimental progress is warranted to realize their chemotherapeutic potential.

Funder

FCT

PhD grant

Publisher

MDPI AG

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