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Narendra M. Dixit
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2020 – today
- 2024
- [j15]Bharadwaj Vemparala
, Vincent Madelain, Caroline Passaes, Antoine Millet, Véronique Avettand-Fenoel
Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data. PLoS Comput. Biol. 20(9): 1012434 (2024) - 2022
- [j14]Pranesh Padmanabhan
Modeling how antibody responses may determine the efficacy of COVID-19 vaccines. Nat. Comput. Sci. 2(2): 123-131 (2022) - 2021
- [j13]Biswajit Gorai
Concerted Interactions between Multiple gp41 Trimers and the Target Cell Lipidome May Be Required for HIV-1 Entry. J. Chem. Inf. Model. 61(1): 444-454 (2021) - [j12]Aamir Faisal Ansari, Yugandhar B. S. Reddy, Janhavi Raut, Narendra M. Dixit
An efficient and scalable top-down method for predicting structures of microbial communities. Nat. Comput. Sci. 1(9): 619-628 (2021) - 2020
- [j11]Rajat Desikan
Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection. PLoS Comput. Biol. 16(8) (2020) - [j10]Ananya Saha, Narendra M. Dixit:
Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection. PLoS Comput. Biol. 16(11) (2020) - [j9]Pranesh Padmanabhan
Targeting TMPRSS2 and Cathepsin B/L together may be synergistic against SARS-CoV-2 infection. PLoS Comput. Biol. 16(12) (2020) - [i2]Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram
City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic. CoRR abs/2008.04849 (2020)
2010 – 2019
- 2018
- [j8]Vipul Gupta, Narendra M. Dixit
Trade-off between synergy and efficacy in combinations of HIV-1 latency-reversing agents. PLoS Comput. Biol. 14(2) (2018) - [j7]Vishnu Venugopal, Pranesh Padmanabhan
Modelling how responsiveness to interferon improves interferon-free treatment of hepatitis C virus infection. PLoS Comput. Biol. 14(7) (2018) - 2012
- [j6]Narendra M. Dixit, Piyush Srivastava, Nisheeth K. Vishnoi:
A Finite Population Model of Molecular Evolution: Theory and Computation. J. Comput. Biol. 19(10): 1176-1202 (2012) - [j5]Kushal Tripathi, Rajesh Balagam, Nisheeth K. Vishnoi, Narendra M. Dixit:
Stochastic Simulations Suggest that HIV-1 Survives Close to Its Error Threshold. PLoS Comput. Biol. 8(9) (2012) - [i1]Narendra M. Dixit, Piyush Srivastava, Nisheeth K. Vishnoi:
A Finite Population Model of Molecular Evolution: Theory and Computation. CoRR abs/1203.1287 (2012) - 2011
- [j4]Sheeja M. Krishnan, Narendra M. Dixit:
Ribavirin-Induced Anemia in Hepatitis C Virus Patients Undergoing Combination Therapy. PLoS Comput. Biol. 7(2) (2011) - [j3]Pranesh Padmanabhan
Mathematical Model of Viral Kinetics In Vitro Estimates the Number of E2-CD81 Complexes Necessary for Hepatitis C Virus Entry. PLoS Comput. Biol. 7(12) (2011)
2000 – 2009
- 2009
- [j2]Pankhuri Arora, Narendra M. Dixit:
Timing the Emergence of Resistance to Anti-HIV Drugs with Large Genetic Barriers. PLoS Comput. Biol. 5(3) (2009) - 2007
- [j1]Gajendra W. Suryavanshi, Narendra M. Dixit:
Emergence of Recombinant Forms of HIV: Dynamics and Scaling. PLoS Comput. Biol. 3(10) (2007)
Coauthor Index
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