Three-Dimensional Quantitative Structure-Activity Relationship Analysis and Molecular Docking of some Nonpeptidic Inhibitors of Protein Tyrosine Phosphatase as Anti-Alzheimer Drugs

Author(s):
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background & Objective

Alzheimer’s disease (AD) is a kind of neuropsychiatric disorder that gradually degrades the mental abilities. High level activity of protein tyrosine phosphatase (PTP) results in memory function loss and Alzheimer disease. Thus, the inhibition of PTP activity can be considered as a potential target for the discovery of anti-Alzheimer drug. In this study, using computational techniques anti-alzheimer drug candidates will be designed.

Materials & Methods

The three-dimensional quantitative structure activity relationship (3D-QSAR) computational studies on PTP inhibitors were performed. Accordingly, comparative molecular field analysis (CoMFA), and comparative molecular similarity indices analysis (CoMSIA) methods were used to determine the required factors for the activity of these compounds. Distill module was applied for the alignment of molecules. A number of new active inhibitors have been proposed using the components of the CoMFA model. Molecular attachment studies were performed to investigate the inhibitory mechanism, identify bioactive conformer, and determine key interactions. Finally, ADMET studies (absorption, distribution, metabolism, digestion and toxicity) were performed on these inhibitors in a computer environment and compared with standard ranges.

Results

The statistical parameters from the models (CoMFA: q2 =0.653,r2ncv=0.961, r2pred =0.770, and CoMSIA: q2=0.564, r2ncv = 0.933, r2pred= 0.746) indicate that the data are well fitted and have high predictive ability. Based on the information obtained from the constructed models, a novel set of tyrosine phosphatase inhibitors with new molecular frameworks have been introduced as new anti-Alzheimerchr('39')s drug candidates.

Conclusion

Computational techniques play a valuable role in drug design. Optimal r2pred and q2 statistical parameters led to the logical design of a number of new inhibitors of tyrosine phosphatase protein, which were introduced as new antimicrobial drug candidates.

Language:
Persian
Published:
Journal of Advanced Biomedical Sciences, Volume:10 Issue: 2, 2020
Pages:
2371 to 2386
magiran.com/p2171570  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
دسترسی سراسری کاربران دانشگاه پیام نور!
اعضای هیئت علمی و دانشجویان دانشگاه پیام نور در سراسر کشور، در صورت ثبت نام با ایمیل دانشگاهی، تا پایان فروردین ماه 1403 به مقالات سایت دسترسی خواهند داشت!
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!