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Table 6 Comparison of HIVprotI approach based QSAR models developed on the datasets of the existing methods for predicting HIV proteins inhibitors (PR, Protease; RT, Reverse Transcriptase; IN, Integrase) and evaluation of both approaches on the independent validation datasets of HIVprotI

From: HIVprotI: an integrated web based platform for prediction and design of HIV proteins inhibitors

Serial number Target Compound type Number of compounds Correlation Year References
Reported in the article Observed by models developed using HIVprotI approach On independent validation dataset of HIVprotI
1 PR Ritonavir analogs 177 0.85 0.81 0.31 2012 [59]
2 Cycloalkylpyran-one based compounds 70 0.60–0.83 0.73 0.40 2015 [58]
3 RT Substituted benzoxazinones 33 0.80 0.74 0.23 2012 [65]
4 Non-nucleoside inhibitors 80 0.70–0.80 0.76 0.28 2014 [66]
5 IN Quinoline ring derivatives 77 0.98 0.92 0.24 2012 [42]
6 Curcumine derivatives 39 0.91 0.88 0.16 2013 [68]