Narendra M. Dixit, Ph.D.
Affiliations: | 2002 | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Chemical EngineeringGoogle:
"Narendra Dixit"Mean distance: 5687.57
Parents
Sign in to add mentorCharles F. Zukoski | grad student | 2002 | UIUC | |
(Kinetics of crystallization and gelation in colloidal suspensions.) |
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Publications
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Desikan R, Raja R, Dixit NM. (2020) Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection. Plos Computational Biology. 16: e1008064 |
Raja R, Pareek A, Newar K, et al. (2019) Mutational pathway maps and founder effects define the within-host spectrum of hepatitis C virus mutants resistant to drugs. Plos Pathogens. 15: e1007701 |
Raja R, Baral S, Dixit NM. (2018) Interferon at the cellular, individual, and population level in hepatitis C virus infection: Its role in the interferon-free treatment era. Immunological Reviews. 285: 55-71 |
Venugopal V, Padmanabhan P, Raja R, et al. (2018) Modelling how responsiveness to interferon improves interferon-free treatment of hepatitis C virus infection. Plos Computational Biology. 14: e1006335 |
Baral S, Roy R, Dixit NM. (2018) Modelling how reversal of immune exhaustion elicits cure of chronic hepatitis C after the end of treatment with direct-acting antiviral agents. Immunology and Cell Biology |
Gupta V, Dixit NM. (2018) Trade-off between synergy and efficacy in combinations of HIV-1 latency-reversing agents. Plos Computational Biology. 14: e1006004 |
Shet A, Nagaraja P, Dixit NM. (2016) Viral decay dynamics and mathematical modeling of treatment response: evidence of lower in vivo fitness of HIV-1 subtype C. Journal of Acquired Immune Deficiency Syndromes (1999) |
Gupta V, Dixit NM. (2015) Scaling law characterizing the dynamics of the transition of HIV-1 to error catastrophe. Physical Biology. 12: 054001 |
Thangavelu PU, Gupta V, Dixit NM. (2014) Estimating the fraction of progeny virions that must incorporate APOBEC3G for suppression of productive HIV-1 infection. Virology. 449: 224-8 |
Tripathi K, Balagam R, Vishnoi NK, et al. (2012) Stochastic simulations suggest that HIV-1 survives close to its error threshold. Plos Computational Biology. 8: e1002684 |