{"title":"Deciphering synergistic interactions between Curcumin, Piperine, and milk proteins using accurate theoretical methods","authors":"Madhesh Palanisamy , Gayathri Krishnamoorthy , Vidya Ravindran","doi":"10.1016/j.compbiolchem.2025.108672","DOIUrl":null,"url":null,"abstract":"<div><div>This work focuses on studying the interaction between the active biomolecules found in turmeric and pepper with key milk proteins, which is a popularly adopted in the <em>Siddha</em>, one of the Indian Traditional Medicinal Systems, to treat cold and throat-related illnesses. Curcumin and Piperine are the active biomolecules in turmeric and pepper, respectively. Hence, we have analyzed their interaction with key milk proteins such as Bovine Serum Albumin (BSA), Lactaglobulin, and Lactalbumin. The interactions were computationally investigated to elucidate the underlying mechanism behind the efficacy of the aforementioned formulation using accurate first-principle calculations based on Density Functional Theory (DFT) and Molecular Docking simulations. The formation of the Curcumin-Piperine (CP) complex, as well as its binding with milk proteins, was evaluated using computational techniques. We have predicted the allosteric sites of the milk proteins and investigated the allosteric regulation effect in these proteins by Curcumin and Piperine. The results revealed the formation and increased bioactivity of the drug complex, thereby providing a molecular basis for the observed synergistic efficacy of this traditional formulation.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"120 ","pages":"Article 108672"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125003330","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This work focuses on studying the interaction between the active biomolecules found in turmeric and pepper with key milk proteins, which is a popularly adopted in the Siddha, one of the Indian Traditional Medicinal Systems, to treat cold and throat-related illnesses. Curcumin and Piperine are the active biomolecules in turmeric and pepper, respectively. Hence, we have analyzed their interaction with key milk proteins such as Bovine Serum Albumin (BSA), Lactaglobulin, and Lactalbumin. The interactions were computationally investigated to elucidate the underlying mechanism behind the efficacy of the aforementioned formulation using accurate first-principle calculations based on Density Functional Theory (DFT) and Molecular Docking simulations. The formation of the Curcumin-Piperine (CP) complex, as well as its binding with milk proteins, was evaluated using computational techniques. We have predicted the allosteric sites of the milk proteins and investigated the allosteric regulation effect in these proteins by Curcumin and Piperine. The results revealed the formation and increased bioactivity of the drug complex, thereby providing a molecular basis for the observed synergistic efficacy of this traditional formulation.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.