Iverson Conrado Bezerra , Jéssika de Oliveira Viana , Jocelin Santa Rita Bisneto , Gabriel Gomes Cavalcante , João Gabriel Barbosa de Luna , Artur José da Silva , Karen Cacilda Weber , Giovanna Machado , José Luiz de Lima Filho , Priscila Gubert
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引用次数: 0
Abstract
Alzheimer's disease (AD) is characterized by progressive neurodegeneration, with aggregation of amyloid-β (Aβ1–42) playing a central role. Natural terpenes have emerged as promising therapeutic candidates due to their bioactivity. Here, we investigated caryophyllene and copaene interactions with Aβ1–42 via molecular docking, molecular dynamics simulations, and MM/PBSA calculations. Both terpenes bound effectively to distinct Aβ1–42 pockets, altering structural flexibility and disrupting aggregation-prone regions, mainly within the C-terminal and central hydrophobic domains. Inter-residue distance matrices showed increased separation between peptide segments, reducing compactness and potentially hindering β-sheet nucleation. Secondary structure analysis revealed decreased β-sheet content and preservation of α-helices, especially for caryophyllene in pocket 1 and copaene in pocket 2. Binding free energy analysis confirmed favorable thermodynamics dominated by hydrophobic interactions. These findings suggest caryophyllene and copaene interfere with early Aβ1-42 aggregation steps, supporting their potential as natural scaffolds for anti-amyloid drug development in AD.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.