scholarly journals Theoretical Investigations and Density Functional Theory Based Quantitative Structure–Activity Relationships Model for Novel Cytotoxic Platinum(IV) Complexes

2012 ◽  
Vol 56 (1) ◽  
pp. 330-344 ◽  
Author(s):  
Hristo P. Varbanov ◽  
Michael A. Jakupec ◽  
Alexander Roller ◽  
Frank Jensen ◽  
Markus Galanski ◽  
...  
Author(s):  
Sudip Pan ◽  
Ashutosh Gupta ◽  
Venkatesan Subramanian ◽  
Pratim K. Chattaraj

Developing effective structure-activity/property/toxicity relationships (QSAR/QSPR/QSTR) is very helpful in predicting biological activity, property, and toxicity of a given set of molecules. Regular change in these properties with the structural alteration is the main reason to obtain QSAR/QSPR/QSTR models. The advancement in making different QSAR/QSPR/QSTR models to describe activity, property, and toxicity of various groups of molecules is reviewed in this chapter. The successful implementation of Conceptual Density Functional Theory (CDFT)-based global as well as local reactivity descriptors in modeling effective QSAR/QSPR/QSTR is highlighted.


2015 ◽  
Vol 5 (9) ◽  
pp. 4547-4555 ◽  
Author(s):  
Pavlo Kostetskyy ◽  
Giannis Mpourmpakis

Olefin formation pathways on Lewis acid (LA) sites of Al2O3, Ga2O3 and In2O3 and gallium- and indium-doped alumina were investigated using Density Functional Theory (DFT) calculations.


2017 ◽  
pp. 1517-1572 ◽  
Author(s):  
Sudip Pan ◽  
Ashutosh Kumar Gupta ◽  
Venkatesan Subramanian ◽  
Pratim K. Chattaraj

Developing effective structure-activity/property/toxicity relationships (QSAR/QSPR/QSTR) is very helpful in predicting biological activity, property, and toxicity of a given set of molecules. Regular change in these properties with the structural alteration is the main reason to obtain QSAR/QSPR/QSTR models. The advancement in making different QSAR/QSPR/QSTR models to describe activity, property, and toxicity of various groups of molecules is reviewed in this chapter. The successful implementation of Conceptual Density Functional Theory (CDFT)-based global as well as local reactivity descriptors in modeling effective QSAR/QSPR/QSTR is highlighted.


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