Refine Search

New Search

Advanced search

Result: 1

(searched for: (10.5155/eurjchem.9.3.275-280.1765))
Save to Scifeed
Page of 1
Articles per Page
by
Show export options
  Select all
Sciprofile linkMaysoon Mohammed Almahdi, Ahmed Elsadig Mohamed Saeed, Nadia Hanafy Metwally
European Journal of Chemistry, Volume 9, pp 275-280; doi:10.5155/eurjchem.9.3.275-280.1765

Abstract:
A quantitative structure-activity relationships (QSAR) studies were carried out by correlating activity against human breast adenocarcinoma cell line MCF-7 of series of α,β-unsaturated carbonyl compounds with their physicochemical descriptors using multiple linear regression method. The predictability of the QSAR model was estimated using internal and external predictivity methods. The best QSAR model was selected, having the squared correlation coefficient r2 = 0.84684, correlation coefficient r = 0.9202, standard deviation s = 0.38484, and cross-validated squared correlation coefficient Q2 = 0.7621. Model obtained was used to predicted the activity against breast cancer for a set of designed α,β-unsaturated carbonyl compounds (A1-A16). Docking studies was performed for A1-A16 compounds to evaluated their inhibition on c-Met kinase, which has been overexpressed in a number of cancers.
Page of 1
Articles per Page
by
Show export options
  Select all
Back to Top Top