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The use of high-throughput array technology is omnipresent in diverse areas specifically, early diagnosis of disease, discovery of infectious agents, search for biological markers and screening of potential drug candidates. Here, we integrated gene expression data with the network-based approach to identify novel genes that were playing central role in the(More)
Podophyllotoxin and its structural derivatives, a class of tubulin polymerization inhibitors, have been the objective of numerous studies to prepare better and safer anti-cancer drugs. A library of podophyllotoxin analogues has been designed consisting of 154 analogues. Their molecular interactions and binding affinities with tubulin protein (1SA1) have(More)
Background: Quercetin which is a natural occurring flavonoid, exert a direct pro-apoptotic effect on tumor cells by blocking the growth of several cancer cell lines at different phases of the cell cycle. Quercetin derivatives have attracted considerable attention for their cytotoxity against human cancer cell lines. In this study the derivatives of(More)
Artificial neural networks are one of the most efficient methods for pattern recognition and have a vast range of applications for aiding medical decision making. The proposed study applies feed-forward back-propagation neural networks as a classifier and compares the combination of nine learning algorithms and three activation functions to build a(More)
Quinazoline and its analogues have important therapeutic value in the treatment of cancer to induce apoptosis in cancer cells in a proliferation-independent manner. The binding free energies of quinazoline based inhibitors of kinase were computed using linear interaction energy method with a surface generalized Born (SGB) continuum solvation model in the(More)
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