Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics
Author:
Funder
National Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-36041-8.pdf
Reference77 articles.
1. Riemenschneider, M. & Heider, D. Current Approaches in Computational Drug Resistance Prediction in HIV. Current HIV research 1–9 (2016).
2. Cai, Y. et al. Drug Resistance Mutations Alter Dynamics of Inhibitor-Bound HIV-1 Protease. Journal of chemical theory and computation 10, 3438–3448, https://doi.org/10.1021/ct4010454 (2014).
3. Doekes, H. M., Fraser, C. & Lythgoe, K. A. Effect of the Latent Reservoir on the Evolution of HIV at the Within- and Between-Host Levels. PLoS Computational Biology 13, e1005228, https://doi.org/10.1371/journal.pcbi.1005228 (2017).
4. Liu, T. F. & Shafer, R. W. Web resources for HIV type 1 genotypic-resistance test interpretation. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America 42, 1608–1618, https://doi.org/10.1086/503914 (2006).
5. Weber, I. T., Kneller, D. W. & Wong-Sam, A. Highly resistant HIV-1 proteases and strategies for their inhibition. Future medicinal chemistry 7, 1023–38, https://doi.org/10.4155/fmc.15.44 (2015).
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