
Be the first to like this
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Published on
Antitubercular activity of 5nitrofuran2yl Deriva
tives series were subjected to Quantitative Struc
ture
Activity Relationship (QSAR) Analysis with an effo
rt to derive and understand a correlation between t
he
biological activity as response variable and differ
ent molecular descriptors as independent variables.
QSAR models are built using 40 molecular descriptor
dataset. Different statistical regression express
ions
were got using Partial Least Squares (PLS) ,Multip
le Linear Regression (MLR) and Principal Component
Regression (PCR) techniques. The among these techni
que, Partial Least Square Regression (PLS)
technique has shown very promising result as compar
ed to MLR technique A QSAR model was build by a
training set of 30 molecules with correlation coe
fficient (
) of 0.8484 , significant cross validated
correlation coefficient (
) is 0.0939,
is 48.5187,
for external test set (
_
)
is 0.5604,
coefficient of correlation of predicted data set
( _
) is 0.7252 and degree of freedom is 26 by
Partial Least Squares Regression technique.
Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.
Be the first to comment