In silico modelling of quantitative structure–activity relationship of multi-target anticancer compounds on k-562 cell line

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
David Ebuka Arthur ◽  
Adamu Uzairu ◽  
Paul Mamza ◽  
Stephen Eyije Abechi ◽  
Gideon Shallangwa
Keyword(s):  
Cell Line ◽  
In Silico ◽  
Quantitative Structure Activity Relationship ◽  
Structure Activity Relationship ◽  
Activity Relationship ◽  
Quantitative Structure ◽  
Anticancer Compounds ◽  
Structure Activity ◽  
In Silico Modelling ◽  
Relationship Of

Quantitative Structure-Activity Relationship of Morita-Baylis-Hillman Adducts with Leishmanicidal Activity

2011 ◽  
Vol 66 (3-4) ◽  
pp. 136-142
Author(s):  
Rodrigo Octavio M. A. de Souza ◽  
José C. Barros ◽  
Joaquim F. M. da Silva ◽  
Octavio A. C. Antunes
Keyword(s):  
Molecular Orbital ◽  
Quantitative Structure Activity Relationship ◽  
Structure Activity Relationship ◽  
Activity Relationship ◽  
Orbital Energy ◽  
Quantitative Structure ◽  
Leishmanicidal Activity ◽  
Structure Activity ◽  
Relationship Model ◽  
Relationship Of

A quantitative structure-activity relationship model for Morita-Baylis-Hillman adducts with leishmanicidal activities was developed which correlates molecular orbital energy and dipole with percentage in the promastigote stage

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