Soykan Agar , Pelin Şenel, Abdullah Al Faysal, Ayşegül Gölcü, Mine Yurtsever
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引用次数: 0
Abstract
The interaction of medicinal compounds with nucleic acids is a critical challenge in drug development. This research focused on the binding dynamics of clofarabine (CLO), an antineoplastic agent, with fish sperm DNA (dsDNA) under conditions that simulate the physiological environment at a pH of 7.4. The investigations employed multiple techniques, including fluorescence and UV spectroscopy, thermal denaturation analysis, viscosity measurements, electrochemical assessments, and molecular docking studies to elucidate these binding interactions. The binding constant (Kb) for the interaction between CLO and dsDNA, as determined from the Benesi-Hildebrand plot, was found to be 2.74 × 104 at a temperature of 298 K. The entropy (∆S) and enthalpy (∆H) changes associated with this binding interaction were measured as + 43.08 J mol−1 K−1 and –12.44 kJ mol−1, respectively. These values indicate that the predominant forces driving the binding interaction are primarily due to hydrogen bonding. Studies using the ethidium bromide and the Hoechst probe showed that CLO does not bind to dsDNA intercalatively. Findings obtained through UV-Vis absorption spectroscopy, competitive binding assays, and viscosity assessments indicated that CLO associates with dsDNA by binding within the minor groove. Molecular docking analyses demonstrated that CLO is accommodated within the AT-rich segment of the minor groove, with significant hydrogen bonding interactions occurring between CLO and dsDNA. These findings may offer valuable perspectives for elucidating the mechanisms underlying the toxicity, resistance, and adverse effects associated with CLO.
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.