Hydrophobic property of (R)-3 Amidinophenylalanine inhibitors contributes to their inhibition constants with thrombin enzyme
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A database containing chemical structures of 60 inhibitors and their Ki values was put into molecular operating environment (MOE) 2008.10 software, and the two-dimensional (2D) physicochemical descriptors were numerically calculated. After removing the irrelevant descriptors, a QSAR modeling was developed from the 2D-descriptors and Ki values by using the partial least squares (PLS) regression method.
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Hydrophobic property of (R)-3 Amidinophenylalanine inhibitors contributes to their inhibition constants with thrombin enzymeScience & Technology Development Journal, 22(3):348- 352 Open Access Full Text Article Research ArticleHydrophobic Property of (R)-3 Amidinophenylalanine InhibitorsContributes to their Inhibition Constants with Thrombin EnzymeNguyen Van Hien1 , Pham Thi Bich Van1 , Hoang Minh Hao2,* ABSTRACT Introduction: Thrombin is the key enzyme of fibrin formation in the blood coagulation cas- cade. Thrombin is released by the hydrolysis of prothrombinase which is generated from factorUse your smartphone to scan this Xa and factor Va in the presence of calcium ion and phospholipid. The inhibition of thrombinQR code and download this article is of therapeutic interest in blood clot treatment. Currently, potent thrombin inhibitors of (R)-3- amidinophenylalanine, derived from benzamidine-containing amino acid, have been developed so far. In order to quantitatively express a relationship between chemical structures and inhibition constants (Ki with thrombin enzyme in a data set of (R)-3-amidinophenylalanine inhibitors), we developed a quantitative structure-activity relationship (QSAR) modeling from a group of 60 (R)-3- amidinophenylalanine inhibitors. Methods: A database containing chemical structures of 60 in- hibitors and their Ki values was put into molecular operating environment (MOE) 2008.10 software, and the two-dimensional (2D) physicochemical descriptors were numerically calculated. After re- moving the irrelevant descriptors, a QSAR modeling was developed from the 2D-descriptors and Ki values by using the partial least squares (PLS) regression method. Results: The results showed that the hydrophobic property, reflected through n-octanol/water partition coefficient (P) of a drug molecule, contributes mainly to Ki values with thrombin. The statistic parameters that give the in- formation about the goodness of fit of a 2D-QSAR model (such as squared correlation coefficient of1 R2 = 0.791, root mean square error (RMSE) = 0.443, cross-validated Q2 cv = 0.762, and cross-validated Department of Chemistry, Faculty of RMSEcv = 0.473) were statistically obtained for a training set (60 inhibitors). The R2 and RMSE valuesSciences, Nong Lam University, Vietnam were obtained by using a developed model for the testing set (9 inhibitors) ; the total set has sta-2 Department of Chemical Technology, tistically significant parameters. Furthermore, the 2D-QSAR modeling was also applied to predictFaculty of Chemical and Food the Ki values of the 69 inhibitors. A linear relationship was found between the experimental andTechnology, Ho Chi Minh City predicted pKi values of the inhibitors. Conclusion: The results support the promising applicationUniversity of Technology and Education, of established 2D-QSAR modeling in the prediction and design of new (R)-3-amidinophenylalanineVietnam candidates in the pharmaceutical industry.Correspondence Key words: (R)-3-Amidinophenylalanine inhibitors, blood clot, thrombin, 2D-QSARHoang Minh Hao, Department ofChemical Technology, Faculty ofChemical and Food Technology, Ho ChiMinh City University of Technology and INTRODUCTION VIIa (a: activated). The activation of many factors,Education, Vietnam including factor V, VIII, IX and X, in sequence re- Fibrin clot formation is an important process thatEmail: haohm@hcmute.edu.vn heals a wound and stops any unwanted bleeding. sults in the generation and release of thrombin. WhenHistory However, an abnormal clot in the bloodstream ...
Nội dung trích xuất từ tài liệu:
Hydrophobic property of (R)-3 Amidinophenylalanine inhibitors contributes to their inhibition constants with thrombin enzymeScience & Technology Development Journal, 22(3):348- 352 Open Access Full Text Article Research ArticleHydrophobic Property of (R)-3 Amidinophenylalanine InhibitorsContributes to their Inhibition Constants with Thrombin EnzymeNguyen Van Hien1 , Pham Thi Bich Van1 , Hoang Minh Hao2,* ABSTRACT Introduction: Thrombin is the key enzyme of fibrin formation in the blood coagulation cas- cade. Thrombin is released by the hydrolysis of prothrombinase which is generated from factorUse your smartphone to scan this Xa and factor Va in the presence of calcium ion and phospholipid. The inhibition of thrombinQR code and download this article is of therapeutic interest in blood clot treatment. Currently, potent thrombin inhibitors of (R)-3- amidinophenylalanine, derived from benzamidine-containing amino acid, have been developed so far. In order to quantitatively express a relationship between chemical structures and inhibition constants (Ki with thrombin enzyme in a data set of (R)-3-amidinophenylalanine inhibitors), we developed a quantitative structure-activity relationship (QSAR) modeling from a group of 60 (R)-3- amidinophenylalanine inhibitors. Methods: A database containing chemical structures of 60 in- hibitors and their Ki values was put into molecular operating environment (MOE) 2008.10 software, and the two-dimensional (2D) physicochemical descriptors were numerically calculated. After re- moving the irrelevant descriptors, a QSAR modeling was developed from the 2D-descriptors and Ki values by using the partial least squares (PLS) regression method. Results: The results showed that the hydrophobic property, reflected through n-octanol/water partition coefficient (P) of a drug molecule, contributes mainly to Ki values with thrombin. The statistic parameters that give the in- formation about the goodness of fit of a 2D-QSAR model (such as squared correlation coefficient of1 R2 = 0.791, root mean square error (RMSE) = 0.443, cross-validated Q2 cv = 0.762, and cross-validated Department of Chemistry, Faculty of RMSEcv = 0.473) were statistically obtained for a training set (60 inhibitors). The R2 and RMSE valuesSciences, Nong Lam University, Vietnam were obtained by using a developed model for the testing set (9 inhibitors) ; the total set has sta-2 Department of Chemical Technology, tistically significant parameters. Furthermore, the 2D-QSAR modeling was also applied to predictFaculty of Chemical and Food the Ki values of the 69 inhibitors. A linear relationship was found between the experimental andTechnology, Ho Chi Minh City predicted pKi values of the inhibitors. Conclusion: The results support the promising applicationUniversity of Technology and Education, of established 2D-QSAR modeling in the prediction and design of new (R)-3-amidinophenylalanineVietnam candidates in the pharmaceutical industry.Correspondence Key words: (R)-3-Amidinophenylalanine inhibitors, blood clot, thrombin, 2D-QSARHoang Minh Hao, Department ofChemical Technology, Faculty ofChemical and Food Technology, Ho ChiMinh City University of Technology and INTRODUCTION VIIa (a: activated). The activation of many factors,Education, Vietnam including factor V, VIII, IX and X, in sequence re- Fibrin clot formation is an important process thatEmail: haohm@hcmute.edu.vn heals a wound and stops any unwanted bleeding. sults in the generation and release of thrombin. WhenHistory However, an abnormal clot in the bloodstream ...
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