QSAR and SAR studies on the reduction of some aromatic nitro compounds by xanthine oxidase.
This work describes QSAR and SAR studies on the reduction of 27 aromatic nitro compounds by xanthine oxidase using both distance-based topological indices and quantum molecular descriptors along with indicator parameters. The application of a multiple linear regression analysis indicated that a combination of distance-based topological indices with the ad hoc molecular descriptors and the indicator parameters yielded a statistically significant model for the activity, log K (the reduction of aromatic nitro compounds by xanthine oxidase). The final selection of a potential aromatic nitro compound for the reduction by xanthine oxidase is made by quantum molecular modeling. We have found that, among the various parameters, the quantum Mulliken charge parameters on the fourth atom or para position relative to the nitro group correlated best with the activity.
Thakur
Mamta
M
Department of Chemistry, Softvision Institute of Biotechnology and Science, Indore, India.
Thakur
Abhilash
A
Balasubramanian
Krishnan
K
D006841:Hydrocarbons, Aromatic / Q000737:chemistry* / Q000378:metabolism*; D008958:Models, Molecular; D015394:Molecular Structure; D017672:Nitrogen Compounds / Q000737:chemistry* / Q000378:metabolism*; D021281:Quantitative Structure-Activity Relationship; D013329:Structure-Activity Relationship; D014969:Xanthine Oxidase / Q000378:metabolism*
D006841:Hydrocarbons, Aromatic; D017672:Nitrogen Compounds; D014969:Xanthine Oxidase