Quantitative Structure-Activity Relationships of Some Hiv-Protease Inhibitors
نویسندگان
چکیده
منابع مشابه
Quantitative Structure - Activity Relationships Study of Carbonic Anhydrase Inhibitors Using Logistic Regression Model
Binary Logistic Regression (BLR) has been developed as non-linear models to establish quantitative structure- activity relationships (QSAR) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. Using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basi...
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HIV/AIDS pandemics is a serious threat to health and development of mankind, and searching for effective anti-HIV agents remains actual. Considerable progress has been made in recent years in the field of drug development against HIV. A lot of structurally different coumarins were found to display potent anti-HIV activity. The current review demonstrates the variety of synthetic coumarins havin...
متن کاملquantitative structure - activity relationships study of carbonic anhydrase inhibitors using logistic regression model
binary logistic regression (blr) has been developed as non-linear models to establish quantitative structure- activity relationships (qsar) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basis of...
متن کاملScreening Efficacy of Available HIV Protease Inhibitors on COVID-19 Protease
Background and Aim: Advent of COVID-19 attracted the attentions of researchers to develop drugs for its treatment. Besides efforts on developing new drugs, screening available drugs for efficacy on COVID-19 could be an urgent action of initiating its pharmacotherapy. In this study, efficacy of HIV protease inhibitors on COVID-19 protease has been examined. Methods: Molecular docking based scree...
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in the current study, both ligand-based molecular docking and receptor-based quantitative structure activity relationships (qsar) modeling were performed on 35 diaryl urea derivative inhibitors of v600e b-raf. in this qsar study, a linear (multiple linear regressions) and a nonlinear (partial least squares least squares support vector machine (pls-ls-svm)) were used and compared. the predictive...
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ژورنال
عنوان ژورنال: Journal of Enzyme Inhibition
سال: 1999
ISSN: 8755-5093
DOI: 10.3109/14756369909036549