Rate the Article: Quantum Chemical and Energy Descriptors Based Qsar Studies of Triazines Inhibiting Dihydrofolate Reductase, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 124 | Views: 421

Research Paper | Chemistry | India | Volume 2 Issue 7, July 2013 | Rating: 6.1 / 10


Quantum Chemical and Energy Descriptors Based Qsar Studies of Triazines Inhibiting Dihydrofolate Reductase

Mithilesh Tiwari, S. K. Singh, Lakshmi Gangwar


Abstract: Among all the 25 QSAR models PA 1 to PA 25, the number of good QSAR models is 10 whose regression coefficient is greater than 0.7. In all the best 10 QSAR models, heat of formation is common. It means the best descriptor to predict the activities are the heat of formation. Also, the predicted activity obtained by taking heat of formation as single descriptor possesses the good value of regression coefficient which is 0.721430.


Keywords: QSAR, Descriptors, triazines, Dihydrofolate reductase, Steric energy, Heat of formation


Edition: Volume 2 Issue 7, July 2013,


Pages: 96 - 100



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