Virtual Screening Models for Prediction of HIV-1 RT Associated RNase H Inhibition

Abstract

The increasing resistance to current therapeutic agents for HIV drug regiment remains a major problem for effective acquired immune deficiency syndrome (AIDS) therapy. Many potential inhibitors have today been developed which inhibits key cellular pathways in the HIV cycle. Inhibition of HIV-1 reverse transcriptase associated ribonuclease H (RNase H… (More)
DOI: 10.1371/journal.pone.0073478

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Cite this paper

@inproceedings{Poongavanam2013VirtualSM, title={Virtual Screening Models for Prediction of HIV-1 RT Associated RNase H Inhibition}, author={Vasanthanathan Poongavanam and Jacob Kongsted}, booktitle={PloS one}, year={2013} }