Mohamed J. Saadh , Hanan Hassan Ahmed , Radhwan Abdul Kareem , Vicky Jain , Suhas Ballal , Abhayveer Singh , Girish Chandra Sharma , Anita Devi , Abdulaziz Nasirov , Hayder Naji Sameer , Ahmed Yaseen , Zainab H. Athab , Mohaned Adil
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引用次数: 0
Abstract
Cyclooxygenase-2 (COX-2), a key enzyme in the inflammatory pathway, is the target for various nonsteroidal anti-inflammatory drugs (NSAIDs) and selective inhibitors known as coxibs. This study focuses on the development of novel imidazole derivatives as COX-2 inhibitors, utilizing a Structure-Activity Relationship (SAR) approach to enhance binding affinity and selectivity. Molecular docking was performed using Autodock Vina, revealing binding energies of −6.928, −7.187, and −7.244 kJ/mol for compounds 5b, 5d, and 5e, respectively. Molecular dynamics simulations using GROMACS provided insights into the stability and conformational changes of the protein-ligand complexes. Key metrics such as RMSD, RMSF, Rg, SASA, and hydrogen bond analysis were employed to assess the interactions. The binding free energy of the inhibitors was estimated using the MMPBSA method, highlighting compound 5b (N-[(3-benzyl-2-methylsulfonylimidazol-4-yl)methyl]-4-methoxyaniline) with the lowest binding energy of −162.014 kcal/mol. ADMET analysis revealed that compound 5b exhibited the most favorable pharmacokinetic properties and safety profile. Overall, this investigation underscores the potential of these novel imidazole derivatives as effective COX-2 inhibitors, with compound 5b emerging as the most promising candidate for further development.
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.