Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism.

MLA

Chris A Kieslich, et al. “Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism.” PLoS ONE, vol. 11, no. 2, Jan. 2016, p. e0148974. EBSCOhost, https://doi.org/10.1371/journal.pone.0148974.

APA

Chris A Kieslich, Phanourios Tamamis, Yannis A Guzman, Melis Onel, & Christodoulos A Floudas. (2016). Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism. PLoS ONE, 11(2), e0148974. https://doi.org/10.1371/journal.pone.0148974

Chicago

Chris A Kieslich, Phanourios Tamamis, Yannis A Guzman, Melis Onel, and Christodoulos A Floudas. 2016. “Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism.” PLoS ONE 11 (2): e0148974. doi:10.1371/journal.pone.0148974.