{"title":"揭示蜂胶对单核增生李斯特菌转录调控因子prfA的潜在靶向活性,以对抗李斯特菌病","authors":"Ramya Ravindhiran, Kavitha Dhandapani","doi":"10.1016/j.jmgm.2025.109123","DOIUrl":null,"url":null,"abstract":"<div><div><em>Listeria monocytogenes</em> is a causative agent for pernicious listeriosis outbreaks worldwide and it has attained more alertness due to the emergence of resistance and mortality rate. A transcriptional regulator (prfA) regulates all the virulence cascades in <em>L. monocytogenes</em> making it a unique and putative target for many drug molecules. Propolis, nature's hidden treasure, is a complex and heterogeneous mixture that contains many secondary metabolites of plant origin. Bees might produce some active compounds and harnessing their bioactive potential is a burgeoning interest to treat various illnesses. In this context, the present study focuses on evaluating the targeted action of the major bioactive compounds of propolis against the putative target (prfA) of <em>L. monocytogenes</em>. Among various propolis compounds, 75 ligands were selected and docked with the A chain of prfA. Initially, the pharmacokinetic properties of the ligands were evaluated using QikProp v_5.8 in the Schrodinger suite 2023_3. All the pharmacokinetic parameters were satisfied with the selected propolis compounds and the docking score of the compounds obtained was in the range of −13.022 to −5.171 kcal/mol. The compounds with high negative docking scores, such as Ligand 70 (−13.022 kcal/mol) and Ligand 39 (−12.58 kcal/mol) were subjected to molecular dynamics simulation studies to determine their binding stability for a 100 ns simulation course using Desmond v_5.6 packages embedded in the Maestro software v_11.8, followed by the binding free energies of the ligand-receptor complexes were computed using prime MM/GBSA. All the parameters have envisaged the stability of the ligand molecules at the active site of prfA (target protein) to inhibit <em>L. monocytogenes</em> pathogenicity in the host. In sum, the compounds of propolis synergistically act against <em>L. monocytogenes</em> by actively inhibiting the activity of transcriptional regulators (prfA) to combat listeriosis outbreaks, thus ensuring food safety and public health.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"140 ","pages":"Article 109123"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unraveling the potential targeting activity of propolis against transcriptional regulator prfA from Listeria monocytogenes to combat listeriosis\",\"authors\":\"Ramya Ravindhiran, Kavitha Dhandapani\",\"doi\":\"10.1016/j.jmgm.2025.109123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><em>Listeria monocytogenes</em> is a causative agent for pernicious listeriosis outbreaks worldwide and it has attained more alertness due to the emergence of resistance and mortality rate. A transcriptional regulator (prfA) regulates all the virulence cascades in <em>L. monocytogenes</em> making it a unique and putative target for many drug molecules. Propolis, nature's hidden treasure, is a complex and heterogeneous mixture that contains many secondary metabolites of plant origin. Bees might produce some active compounds and harnessing their bioactive potential is a burgeoning interest to treat various illnesses. In this context, the present study focuses on evaluating the targeted action of the major bioactive compounds of propolis against the putative target (prfA) of <em>L. monocytogenes</em>. Among various propolis compounds, 75 ligands were selected and docked with the A chain of prfA. Initially, the pharmacokinetic properties of the ligands were evaluated using QikProp v_5.8 in the Schrodinger suite 2023_3. All the pharmacokinetic parameters were satisfied with the selected propolis compounds and the docking score of the compounds obtained was in the range of −13.022 to −5.171 kcal/mol. The compounds with high negative docking scores, such as Ligand 70 (−13.022 kcal/mol) and Ligand 39 (−12.58 kcal/mol) were subjected to molecular dynamics simulation studies to determine their binding stability for a 100 ns simulation course using Desmond v_5.6 packages embedded in the Maestro software v_11.8, followed by the binding free energies of the ligand-receptor complexes were computed using prime MM/GBSA. All the parameters have envisaged the stability of the ligand molecules at the active site of prfA (target protein) to inhibit <em>L. monocytogenes</em> pathogenicity in the host. In sum, the compounds of propolis synergistically act against <em>L. monocytogenes</em> by actively inhibiting the activity of transcriptional regulators (prfA) to combat listeriosis outbreaks, thus ensuring food safety and public health.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"140 \",\"pages\":\"Article 109123\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326325001834\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325001834","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Unraveling the potential targeting activity of propolis against transcriptional regulator prfA from Listeria monocytogenes to combat listeriosis
Listeria monocytogenes is a causative agent for pernicious listeriosis outbreaks worldwide and it has attained more alertness due to the emergence of resistance and mortality rate. A transcriptional regulator (prfA) regulates all the virulence cascades in L. monocytogenes making it a unique and putative target for many drug molecules. Propolis, nature's hidden treasure, is a complex and heterogeneous mixture that contains many secondary metabolites of plant origin. Bees might produce some active compounds and harnessing their bioactive potential is a burgeoning interest to treat various illnesses. In this context, the present study focuses on evaluating the targeted action of the major bioactive compounds of propolis against the putative target (prfA) of L. monocytogenes. Among various propolis compounds, 75 ligands were selected and docked with the A chain of prfA. Initially, the pharmacokinetic properties of the ligands were evaluated using QikProp v_5.8 in the Schrodinger suite 2023_3. All the pharmacokinetic parameters were satisfied with the selected propolis compounds and the docking score of the compounds obtained was in the range of −13.022 to −5.171 kcal/mol. The compounds with high negative docking scores, such as Ligand 70 (−13.022 kcal/mol) and Ligand 39 (−12.58 kcal/mol) were subjected to molecular dynamics simulation studies to determine their binding stability for a 100 ns simulation course using Desmond v_5.6 packages embedded in the Maestro software v_11.8, followed by the binding free energies of the ligand-receptor complexes were computed using prime MM/GBSA. All the parameters have envisaged the stability of the ligand molecules at the active site of prfA (target protein) to inhibit L. monocytogenes pathogenicity in the host. In sum, the compounds of propolis synergistically act against L. monocytogenes by actively inhibiting the activity of transcriptional regulators (prfA) to combat listeriosis outbreaks, thus ensuring food safety and public health.
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.