Submitted

• Ke, R., Sanche, S., Romero-Severson, E. and Hengartner, N.,
  Fast spread of COVID-19 in Europe and the US suggests the necessity of early, strong and comprehensive interventions. [link]
• Ke, R., Deng, K.,
  The dynamics of the HIV-1 latent reservoir – considering the heterogeneous subpopulations. [Link]
• Farrell, A., Brooke, C.B., Koelle, K., Ke, R.,
  Coinfection of semi-infectious particles can contribute substantially to influenza infection dynamics. [Link]

 Articles

• Gonçalves, A., Bertrand, J., Ke, R., Comets, E., de Lamballerie, X., Malvy, D., Pizzorno, A., Terrier, O., Rosa Calatrava, M., Mentré, F. Smith, P., Perelson, A.S., Guedj, J.
  Timing of antiviral treatment initiation is critical to reduce SARS‐CoV‐2 viral load.
  CPT: pharmacometrics & systems pharmacology 2020. [link]
• Schreiber, S., Ke, R., Loverdo, C., Park, M., Ahsan P., Lloyd-Smith, J. O.,
  Cross scale dynamics and the evolutionary emergence of infectious diseases.
  Virus Evolution 2020. (in press) [link]
• Sanche, S., Lin, Y., Xu, C., Romero-Severson, E., Hengartner, N., Ke, R.,
  High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2.
  Emerging Infectious Diseases 2020; 26(7), 1470-1477. [link]
• Sun, J., Vera, J.C., Drnevich, J., Lin, Y.T., Ke, R., Brooke, C.B.,
  Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection.
  PLoS Pathogens 2020; 16 (7), e1008671. [link]
• Huang, Y., Dai, H., Ke, R.,
  Principles of effective and robust innate immune response to viral infections: a multiplex network analysis.
  Frontiers in Immunology 2019; 10, 1736.  [link]
• Koelle, K., Farrell, A., Brooke, C.B., Ke, R.,
  Within-host infectious disease models accommodating cellular coinfection, with an application to influenza.
  Virus Evolution 2019; 5 (2), vez018. [link]
• Gallagher, M.E., Brooke, C.B., Ke, R., Koelle, K.,
  Causes and consequences of spatial within-host viral spread.
  Viruses 2018; 10(11),627. [link]
• Ke, R., Conway, J.M., Margolis, D.M., Perelson, A.S.,
  Determinants of the efficacy of HIV latency reversing agents and implications for drug and treatment design.
  JCI Insight 2018;3(20):e123052. [link]
• Ke, R.*, Li, H.*, Wang, S., Ding W., Ribeiro, R.M., Giorgi, E.E., … & Perelson, A.S., (* equal contribution)
  Superinfection and cure of infected cells as mechanisms for hepatitis C virus adaptation and persistence.
  Proceedings of the National Academy of Sciences 2018; 115(30):E7139-E7148. [link]
• Chang, C.C., Naranbhai, V., Stern, J., Roche, M., Dantanarayana, A., Ke, R., … & Lewin S.R.,
  Variation in cell associated unspliced HIV RNA on antiretroviral therapy is associated with the circadian regulator BMAL-1.
  AIDS 2018 doi: 10.1097/QAD.0000000000001937. [link]
• Shan, L., Deng, K., Gao, H., Xing, S., Capoferri, A. A., Durand, C. M., … & Siliciano, R. F.,
  Transcriptional reprogramming during effector-to-memory transition renders CD4+ T cells permissive for latent HIV-1 infection.
  Immunity 2017; 47(4), 766-775. [link]
• Ke, R., Cong, M., Li, D., Garcia-Lerma, G., Perelson, A. S.,
  On the death rate of abortively infected cells: estimation from simian/human immunodeficiency virus infection.
  Journal of Virology 2017. [link]
• Benzine, T., Brandt, R., Lovell, W. C., Yamane, D., Neddermann, P.; de Francesco, R.; Lemon, S. M., Perelson, A. S.; Ke, R., McGivern, D. R.,
  NS5A inhibitors unmask differences in functional replicase complex half-life between different hepatitis C virus strains.
  PLoS Pathogens 2017; 13(6): e1006343.  [link]
• Lau, G.K., Benhamou, Y., Chen, G., Li, J., Shao, Q., Ji, D., …, & Schinazi, R.F.,
  Efficacy and safety of 3-week response-guided triple direct-acting antiviral therapy for chronic hepatitis C infection: a phase 2, open-label, proof-of-concept study.
  The Lancet Gastroenterology & Hepatology 2016; 1(2): 97-104. [link]
• Sherman, K.E., Ke, R., Rouster, S.D., Abdel-Hameed, E.A., Park, C., Palascak, J., Perelson, A.S.,
  Viral dynamic modeling of hepatitis C response to a telaprevir-based regimen in hemophiliacs.
  Haemophilia 2016; DOI: 10.1111/hae.12918. [link]
• Ke, R., Elliott, J., Lewin, S. R., Perelson, A.S.,
  Modeling the effects of vorinostat in vivo reveals both transient and delayed HIV transcriptional activation and minimal killing of latently infected cells.
  PLoS Pathogens 2015; 11(10): e1005237.  [link]
• Ke, R., Loverdo, C., Qi, H., Sun, R., Lloyd-Smith, J. O.,
  Rational design and adaptive management of combination therapies for hepatitis C virus infection.
  PLoS Computational Biology 2015; 11(6): e1004040. [link]
• Qi, H., Olson, A., Wu, N., Ke, R., Loverdo, C., Chu, V., … & Sun, R.
  A quantitative high-resolution genetic profile rapidly identifies sequence determinants of hepatitis C viral fitness and drug sensitivity.
  PLoS Pathogens 2014; 10 (4): e1004064 [link]
  
• Ke, R., Loverdo, C., Qi, H., Olson, A., Wu, N., Sun, R., Lloyd-Smith, J. O.,
  Modelling clinical data shows active tissue concentration of daclatasvir is ten-fold lower than its plasma concentration.
  Journal of Antimicrobial Chemotherapy 2014; 69 (3): 724-727. [link]
• Ke, R., Lloyd-Smith, J.O.
  Coadaptive stability of interfering particles with HIV-1 when there is an evolutionary conflict. [Letter]
  Journal of Virology 2013; 87 (17), 9959-9959 [link]
• Ke, R., Aaskov, J., Holmes, E.C., Lloyd-Smith, J.O.
  Phylodynamic analysis of the emergence and epidemiological impact of transmissible defective dengue viruses.
  PLoS Pathogens 2013; 9(2): e1003193 [link]
  • This work is interesting enough that it made it to the front page banner of the NSF website.
  • Selected news coverages: [NSF Discovery] [UCLA Newsroom][Science Daily][Global Biodefense] [Medical Xpress] [Science 360]
  • There is a science blog discussing the work. I find it very interesting. Read here.
• Ke, R., Haynes, K., Stark, J.
  Modelling the activation of the alkaline pH response transcription factor PacC in Aspergillus nidulans reveals the involvement of a negative feedback loop.
  Journal of Theoretical Biology 2013; 326:11-20 [link]
• Ke, R., Ingram, P., Haynes, K.
  An integrative model of ion regulation in yeast.
  PLoS Computational Biology 2013; 9 (1), e1002879 [link]
• Ke, R., Lloyd-Smith, J.O.
  Evolutionary analysis of human immunodeficiency virus type 1 therapies based on conditionally replicating vectors.
  PLoS Computational Biology 2012; 8 (10), e1002744 [link]

Conference Proceedings

• Huang, Y., Dai, M., Zhang, Z., Ke, R.
  Network analysis of virus-innate immune interaction within a host.
  Information Sciences and Systems (CISS), 2018 52nd Annual Conference on, 1-6. DOI: 10.1109/CISS.2018.8362278

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