Quantum chemical structure activity studies of anticancer activity of seconucleoside nitrosourea analogs
Nucleosides can be considered as specific carriers for the nitrosourea moiety with altered pharmacological properties such as improved water solubility, lower myelotoxicity with enhanced cell membrane transport. Several seconucleoside nitrosourea compounds have been reported to have anticancer acti...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Insight Medical Publishing
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/48147/4/48147.pdf http://irep.iium.edu.my/48147/ http://www.cheminformatics.imedpub.com/archive.php |
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| Summary: | Nucleosides can be considered as specific carriers for the nitrosourea moiety with altered pharmacological properties such as improved water solubility, lower
myelotoxicity with enhanced cell membrane transport. Several seconucleoside nitrosourea compounds have been reported to have anticancer activity against solid tumors such as, murine adenocarcinomas of the colon 13 (MAC
13), MAC 15A, colon 38 and mammary carcinoma. In an effort to have a good understanding of the role of the structural features on the anticancer activity of
these seconucleosides, we have constructed the quantitative structure activity relationship (QSAR) involving 26 seconucleoside nitrosourea compounds having
anticancer activity against murine adenocarcinomas of the colon 15A (MAC 15).
Traditional QSAR studies require knowledge of several physicochemical properties to obtain a good QSAR. To circumvent this problem, we have made use of quantum
chemical methods to calculate several electronic and molecular properties of these compounds and used these properties to obtain the best QSAR using statistical procedures. Semi-empirical quantum chemical RM1 methods were used to optimize the molecular structures. From the optimized structure, hundreds of molecular and electronic properties were calculated and correlated with the
anticancer activities of the compounds. The best correlation was obtained using heuristic and multi-linear regression methods. We were able to obtain a best
QSAR with correlation coefficient, R2=0.8993. We find that the average structural information contents of the second order, average bond order of oxygen atom and
maximum columbic interaction for H-N bond play significant roles in influencing the anticancer activity of the selected compounds. The QSAR obtained in our study
can be used to predict the anticancer activity of new seconucleoside nitrosourea analogs, prior to resorting to any experimental studies. |
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