Antimalarial Activity: A QSAR Modeling of NF54 Strain of Plasmodium falciparum by Physicochemical Descriptor Calculation  

Journal Title: International Journal of Research in Pharmacy and Science - Year 2011, Vol 1, Issue 3

Abstract

Multiple linear regression analysis and other statistical analysis were carried out on all the compounds of training set. Descriptors were selected for the model based on their correlation coefficient and those descriptors having interred correlation coefficient below 0.5 were considered. Various models were obtained after performing multiple linear regression analysis. The dataset are based on the NF54 strains of P. falciparum consisting of 69 organic compounds. The size of the final training set therefore became 53 compounds and test set 16 compounds. Descriptors were selected for the model based on their correlation coefficient and that descriptor having intercorrelation coefficient below 0.5 were considered. Various models were obtained after performing multiple linear regression (MLR) analysis. Model predictive power was judged based on various statistical parameters like correlation coefficient, regression coefficient (r2), fisher statistical value (F), and standard error. The initial regression analysis was performed on all the 37 molecules which resulted in regression model. The best QSAR model has the characters of large F, low P value, r2 and q2 values close to 1, as well as P< 0.001. 

Authors and Affiliations

Vinayaditya Singh , Ameeta Argal

Keywords

Related Articles

An Update on Pharmacological Properties of Cumin

Cumin commonly known as Jeera commonly used in the house hold work as spice. Cumin(Cuminum cyminum) is a flowering plant in the family Apiaceae It is an ancient spice which history dates back to use in Egypt used by...

Antimalarial Activity: A QSAR Modeling of NF54 Strain of Plasmodium falciparum by Physicochemical Descriptor Calculation  

Multiple linear regression analysis and other statistical analysis were carried out on all the compounds of training set. Descriptors were selected for the model based on their correlation coefficient and those descripto...

Mucoadhesive: As Oral Controlled Gastroretentive Drug Delivery System

Mucoadhesion is a field of current interest in the design of drug delivery systems. Mucoadhesive drug delivery system prolong the residence time of the dosage form at the site of application or absorption and facilit...

Evaluation of In-Vitro Antioxidant Activity in Ficus religiosa (L.) Leaves 

Medicinal plants have been used in traditional medicine for the treatment of several diseases. In India, medicines based on herbal origin have been the basis of treatment and cure for various diseases and physiological a...

DPPH Scavenging Activity of Various Extracts of Sweet Potatoes Leaves with Varying Tubers Colors

The antioxidant activities of various extracts of  sweet potatoes (Ipomoea batatas) leaves with five varying tubers colors were examined by using DPPH (2.2-diphenyl-1-picrylhidrazyl) method. Determination of total f...

Download PDF file
  • EP ID EP108590
  • DOI -
  • Views 151
  • Downloads 0

How To Cite

Vinayaditya Singh, Ameeta Argal (2011). Antimalarial Activity: A QSAR Modeling of NF54 Strain of Plasmodium falciparum by Physicochemical Descriptor Calculation  . International Journal of Research in Pharmacy and Science, 1(3), 102-125. https://europub.co.uk/articles/-A-108590