2D-QSAR study of fullerene nanostructure derivatives as potent HIV-1 protease inhibitors

2D-QSAR study of fullerene nanostructure derivatives as potent HIV-1 protease inhibitors


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دانشگاه علوم پزشکی تبریز
دانشگاه علوم پزشکی تبریز

نویسندگان: ابوالفضل برزگر

کلمات کلیدی: Fullerene nanostructure HIV-1 protease QSAR PCA GAPLS MLR Regression

نشریه: 27422 , 93 , 93 , 2017

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نویسنده ثبت کننده مقاله ابوالفضل برزگر
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه دانشکده علوم نوین پزشکی
کد مقاله 61384
عنوان فارسی مقاله 2D-QSAR study of fullerene nanostructure derivatives as potent HIV-1 protease inhibitors
عنوان لاتین مقاله 2D-QSAR study of fullerene nanostructure derivatives as potent HIV-1 protease inhibitors
ناشر 4
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ خیر
عنوان نشریه (خارج از لیست فوق)
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت http://www.sciencedirect.com/science/article/pii/S1386947717307154?via%3Dihub

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The protease of human immunodeficiency virus1 (HIV-PR) is an essential enzyme for antiviral treatments. Carbon nanostructures of fullerene derivatives, have nanoscale dimension with a diameter comparable to the diameter of the active site of HIV-PR which would in turn inhibit HIV. In this research, two dimensional quantitative structure-activity relationships (2D-QSAR) of fullerene derivatives against HIV-PR activity were employed as a powerful tool for elucidation the relationships between structure and experimental observations. QSAR study of 49 fullerene derivatives was performed by employing stepwise-MLR, GAPLS-MLR, and PCAMLR models for variable (descriptor) selection and model construction. QSAR models were obtained with higher ability to predict the activity of the fullerene derivatives against HIV-PR by a correlation coefficient (R2 training) of 0.942, 0.89, and 0.87 as well as R2test values of 0.791, 0.67and 0.674 for stepwise-MLR, GAPLSMLR, and PCA -MLR models, respectively. Leave-one-out cross-validated correlation coefficient (R2CV) and Yrandomization methods confirmed the models robustness. The descriptors indicated that the HIV-PR inhibition depends on the van der Waals volumes, polarizability, bond order between two atoms and electronegativities of fullerenes derivatives. 2D-QSAR simulation without needing receptor's active site geometry, resulted in useful descriptors mainly denoting “C60 backbone-functional groups” and “C60 functional groups” properties. Both properties in fullerene refer to the ligand fitness and improvement van der Waals interactions with HIV-PR active site. Therefore, the QSAR models can be used in the search for novel HIV-PR inhibitors based on fullerene derivatives.

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ابوالفضل برزگراول

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نام فایل تاریخ درج فایل اندازه فایل دانلود
2017_Physica E.pdf1396/06/21500771دانلود