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Identification of Helicobacter pylori-carcinogenic TNF-alpha-inducing protein inhibitors via daidzein derivatives through computational approaches.
Tayyeb, Jehad Zuhair; Mondal, Shibam; Anisur Rahman, Md; Kumar, Swapon; Bayil, Imren; Akash, Shopnil; Hossain, Md Sarowar; Alqahtani, Taha; Zaki, Magdi E A; Oliveira, Jonas Ivan Nobre.
Afiliação
  • Tayyeb JZ; Department of Clinical Biochemistry, College of Medicine, University of Jeddah, Jeddah, Saudi Arabia.
  • Mondal S; Pharmacy Discipline, School of Life Sciences, Khulna University, Khulna, Bangladesh.
  • Anisur Rahman M; Department of Pharmacy, Islamic University, Kushtia, Bangladesh.
  • Kumar S; Department of Pharmacy, Jahangirnagar University, Savar, Bangladesh.
  • Bayil I; Department of Bioinformatics and Computational Biology, Gaziantep University, Gaziantep, Turkey.
  • Akash S; Department of Pharmacy, Daffodil International University, Dhaka, Bangladesh.
  • Hossain MS; Department of Pharmacy, Daffodil International University, Dhaka, Bangladesh.
  • Alqahtani T; Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
  • Zaki MEA; Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
  • Oliveira JIN; Department of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, Brazil.
J Cell Mol Med ; 28(9): e18358, 2024 May.
Article em En | MEDLINE | ID: mdl-38693868
ABSTRACT
Gastric cancer is considered a class 1 carcinogen that is closely linked to infection with Helicobacter pylori (H. pylori), which affects over 1 million people each year. However, the major challenge to fight against H. pylori and its associated gastric cancer due to drug resistance. This research gap had led our research team to investigate a potential drug candidate targeting the Helicobacter pylori-carcinogenic TNF-alpha-inducing protein. In this study, a total of 45 daidzein derivatives were investigated and the best 10 molecules were comprehensively investigated using in silico approaches for drug development, namely pass prediction, quantum calculations, molecular docking, molecular dynamics simulations, Lipinski rule evaluation, and prediction of pharmacokinetics. The molecular docking study was performed to evaluate the binding affinity between the target protein and the ligands. In addition, the stability of ligand-protein complexes was investigated by molecular dynamics simulations. Various parameters were analysed, including root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), hydrogen bond analysis, principal component analysis (PCA) and dynamic cross-correlation matrix (DCCM). The results has confirmed that the ligand-protein complex CID 129661094 (07) and 129664277 (08) formed stable interactions with the target protein. It was also found that CID 129661094 (07) has greater hydrogen bond occupancy and stability, while the ligand-protein complex CID 129664277 (08) has greater conformational flexibility. Principal component analysis revealed that the ligand-protein complex CID 129661094 (07) is more compact and stable. Hydrogen bond analysis revealed favourable interactions with the reported amino acid residues. Overall, this study suggests that daidzein derivatives in particular show promise as potential inhibitors of H. pylori.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Helicobacter pylori / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular / Isoflavonas Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Helicobacter pylori / Simulação de Dinâmica Molecular / Simulação de Acoplamento Molecular / Isoflavonas Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article