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Published on: June 26, 2018
In Silico Design and Computational Elucidation of Hypothetical Resveratrol-Curcumin Hybrids as Potential Cancer
1Bioengineering Department, Manisa Celal Bayar University, Yunusemre, Manisa 45140, Turkey.
Abstract:
Background/Objectives: Cancer progression is characterized by the suppression of apoptosis, activation of metastatic processes, and dysregulation of cell proliferation. The proper functioning of these mechanisms relies on critical signaling pathways, including Phosphoinositide 3-kinase/Protein kinase B/mammalian Target of Rapamycin (PI3K/Akt/mTOR), Mitogen-Activated Protein Kinase (MAPK), and Signal Transducer and Activator of Transcription 3 (STAT3). Although curcumin and resveratrol exhibit anticancer properties and affect these pathways, their pharmacokinetic limitations, including poor bioavailability and low solubility, restrict their clinical application. The aim of our study was to evaluate the synergistic anticancer potential of curcumin and resveratrol through hybrid molecules rationally designed from these compounds to mitigate their pharmacokinetic limitations. Furthermore, we analyzed the multi-target anticancer effects of these hybrids on the AKT serine/threonine kinase 1 (AKT1), MAPK, and STAT3 pathways using in silico molecular modeling approaches. Methods: Three hybrid molecules, including a long-chain (ELRC-LC) and a short-chain (ELRC-SC) hybrid, an ester-linked hybrid, and an ether-linked hybrid (EtLRC), were designed using the Avogadro software (v1.2.0), and their geometry optimization was carried out using Density Functional Theory (DFT). The electronic properties of the structures were characterized through Frontier Molecular Orbital (FMO), Molecular Electrostatic Potential (MEP), and Fourier Transform Infrared (FTIR) analyses. The binding energies of the hybrid molecules, curcumin, resveratrol, their analogs, and the reference inhibitor were calculated against the AKT1, MAPK, and STAT3 receptors using molecular docking. The stabilities of the best-fitting complexes were evaluated through 100 ns molecular dynamics (MD) simulations, and their binding free energies were estimated using the Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) method. Results: DFT analyses demonstrated stable electronic characteristics for the hybrids. Molecular docking analyses revealed that the hybrids exhibited stronger binding compared to curcumin and resveratrol. The binding energy of -11.4 kcal/mol obtained for the ELRC-LC hybrid against AKT1 was particularly remarkable. Analysis of 100 ns MD simulations confirmed the conformational stability of the hybrids. Conclusions: Hybrid molecules have been shown to exert multi-target mechanisms of action on the AKT1, MAPK, and STAT3 pathways, and to represent potential anticancer candidates capable of overcoming pharmacokinetic limitations. Our in silico-based study provides data that will guide future in vitro and in vivo studies. These rationally designed hybrid molecules, owing to their receptor affinity, may serve as de novo hybrid inhibitors.
Insights
New hybrid molecules combining curcumin and resveratrol show enhanced anticancer activity by targeting key signaling pathways like AKT1, MAPK, and STAT3. These novel compounds overcome the pharmacokinetic limitations of their parent molecules, offering promising therapeutic potential.
Area of Science:
- Medicinal Chemistry
- Computational Biology
- Pharmacology
Background:
- Cancer progression involves apoptosis suppression, metastasis activation, and uncontrolled cell proliferation.
- Key signaling pathways like PI3K/Akt/mTOR, MAPK, and STAT3 regulate these cancer hallmarks.
- Curcumin and resveratrol have anticancer properties but suffer from poor bioavailability and solubility.
Purpose of the Study:
- To design and evaluate novel hybrid molecules of curcumin and resveratrol.
- To overcome the pharmacokinetic limitations of curcumin and resveratrol.
- To analyze the multi-target anticancer effects of these hybrids on AKT1, MAPK, and STAT3 pathways using in silico methods.
Main Methods:
- Hybrid molecules (ELRC-LC, ELRC-SC, EtLRC) designed using Avogadro software.
- Geometry optimization and electronic property analysis using Density Functional Theory (DFT).
- Molecular docking against AKT1, MAPK, and STAT3 receptors, followed by molecular dynamics (MD) simulations and MM/PBSA analysis.
Main Results:
- DFT analyses confirmed stable electronic characteristics of the designed hybrids.
- Molecular docking revealed superior binding affinities of hybrids compared to parent compounds.
- ELRC-LC hybrid showed a remarkable binding energy of -11.4 kcal/mol against AKT1.
- MD simulations confirmed the conformational stability of the hybrid-receptor complexes.
Conclusions:
- Designed hybrid molecules exhibit multi-target action against AKT1, MAPK, and STAT3 pathways.
- These hybrids demonstrate potential as anticancer agents by overcoming pharmacokinetic challenges.
- The study provides a basis for future in vitro and in vivo investigations of these novel hybrid inhibitors.
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