Comparative Qsar Studies Of Benzamidine Derivatives Via In-Silico Tool: Chemoinformatics For Making Better Decisions Faster In The Area Of Drug Lead Identification. Este artículo no está disponible.
Idioma: inglés
Editorial: Lap Lambert Academic Publishing, 2012
- Tapa blanda
- Nuevo

Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Vendedor de 5 estrellas
Vendedor de IberLibro desde 6 de enero de 2003
No disponible
Tapa blanda
Condición: Nuevo
EUR 102,29
Descripción del artículo del vendedor
108 pages. 8.66x5.91x0.25 inches. In Stock.
N° de ref. del artículo __3659260460
- Título
- Comparative Qsar Studies Of Benzamidine Derivatives Via In-Silico Tool: Chemoinformatics For Making Better Decisions Faster In The Area Of Drug Lead Identification
- Autor
- Bhele, Upendra; Bhele, Upendra
- Editorial
- Lap Lambert Academic Publishing
- Año de publicación
- 2012
- Estado
- Brand New
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 3659260460
- ISBN 13
- 9783659260469
- Peso del artículo
- 0,21 kilogramos
Thrombosis - localized clotting of the blood - can occur in the arterial or the venous circulation and has a major medical impact. Acute arterial thrombosis is the proximal cause of most cases of myocardial infarction (heart attack) and of about 80% of strokes, collectively the most common cause of death in the developed world. Antiplatelet drugs are used for both the prevention and the acute treatment of arterial thrombosis. These drugs target the activation and the aggregation of platelets. Rivaroxaban is an orally available inhibitor of activated factor X. To enlighten this subject, Benzamidine Derivatives as Factor Xa Inhibitors are the target molecules used for the QSAR studies and an Assessment of Compatibility of Dataset to Statistical Methods is performed by the use of various in silico tools.For model validation the dataset is divided into training set and test set to generate the QSAR model validation report followed by the calibration of the IC-50 value of the representative molecules using MLR, ANN and SVM Methods.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
As a Bioinformatics postgraduate(MSc, MTech), Upendra Bhele has worked on various Chemoinfomatics and Pharmacoinformatics projects. He has various research papers published under his name.
“Acerca de” puede pertenecer a otra edición de este título.