The Interaction of a Novel Drug with β-secretase-۱ and Acetylcholinesterase: A Computational Investigation from Both Dynamics and Thermodynamics Viewpoints
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 6
فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJCCE-42-5_006
تاریخ نمایه سازی: 17 خرداد 1404
چکیده مقاله:
Inhibition of glycogen synthase kinase-۳ (GSK-۳), β-secretase ۱ (BACE-۱), and acetylcholinesterase (AChE) could block one of the initial pathological events of Alzheimer's disease (AD). Recently, a new class of drugs has been developed with significant potential for GSK-۳ inhibition. In this research, to the discovery of the new ligand as the potential multi-target drug with effective anti-Alzheimer's action a detailed computational investigation has been carried out on the effect of one of the most important drugs of such class on BACE-۱ and AChE enzymes. The results of the binding free energies (∆GBind) showed that the binding of this drug to AChE (-۶۷.۷۷ kJ/mol) is thermodynamically more favorable than BACE-۱ (-۲۲.۳۵ kJ/mol). Examination of dynamic properties such as the root mean square fluctuation (RMSF) and the propensity for the secondary structure demonstrated that due to the decrease in the β-sheet and β-bridge content as well as the increase in the random coil content of BACE-۱ in the presence of the drug, this enzyme was completely more flexible than AChE. The free-energy landscape (FEL) based on the first and second motion modes (PC۱ and PC۲) indicated that the large concerted motions of BACE-۱ found in the simulations were particularly more sensitive to this drug than AChE.
کلیدواژه ها:
نویسندگان
Sara Roosta
Molecular Simulation Research Laboratory, Department of Chemistry, Iran University of Science and Technology, P.O. Box۱۶۸۴۶-۱۳۱۱۴ Tehran, I. R. IRAN
Seyed Majid Hashemianzadeh
Molecular Simulation Research Laboratory, Department of Chemistry, Iran University of Science and Technology, P.O. Box۱۶۸۴۶-۱۳۱۱۴ Tehran, I. R. IRAN
Sajjad Gharaghani
Department of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, I.R. IRAN
Mohammad Hossein Karimi Jafari
Department of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, I.R. IRAN
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :