Padmanabhan Publications
Selected publications
Götz, J., Padmanabhan, P. Ultrasound and antibodies — a potentially powerful combination for Alzheimer disease therapy. Nat Rev Neurol 20, 257–258 (2024). https://doi.org/10.1038/s41582-024-00943-1
Padmanabhan, P., Götz, J. Clinical relevance of animal models in aging-related dementia research. Nat Aging 3, 481–493 (2023). https://doi.org/10.1038/s43587-023-00402-4
Gormal, Rachel S., Padmanabhan, Pranesh, Kasula, Ravikiran, Bademosi, Adekunle T., Coakley, Sean, Giacomotto, Jean, Blum, Ailisa, Joensuu, Merja, Wallis, Tristan P., Lo, Harriet P., Budnar, Srikanth, Rae, James, Ferguson, Charles, Bastiani, Michele, Thomas, Walter G., Pardon, Els, Steyaert, Jan, Yap, Alpha S., Goodhill, Geoffrey J., Hilliard, Massimo A., Parton, Robert G. and Meunier, Frédéric A. (2020). Modular transient nanoclustering of activated β2-adrenergic receptors revealed by single-molecule tracking of conformation-specific nanobodies. Proceedings of the National Academy of Sciences of the United States of America, 117 (48), 30476-30487. doi: 10.1073/pnas.2007443117
Padmanabhan, Pranesh, Kneynsberg, Andrew, Cruz, Esteban, Amor, Rumelo, Sibarita, Jean‐Baptiste and Götz, Jürgen (2022). Single‐molecule imaging reveals Tau trapping at nanometer‐sized dynamic hot spots near the plasma membrane that persists after microtubule perturbation and cholesterol depletion. The EMBO Journal, 41 (19) e111265, 1-16. doi: 10.15252/embj.2022111265
Modeling how antibody responses may determine the efficacy of COVID-19 vaccines
Padmanabhan, Pranesh, Desikan, Rajat and Dixit, Narendra M. (2022). Modeling how antibody responses may determine the efficacy of COVID-19 vaccines. Nature Computational Science, 2 (2), 123-131. doi: 10.1038/s43588-022-00198-0
Super-resolution microscopy: a closer look at synaptic dysfunction in Alzheimer disease
Padmanabhan, Pranesh, Kneynsberg, Andrew and Götz, Jürgen (2021). Super-resolution microscopy: a closer look at synaptic dysfunction in Alzheimer disease. Nature Reviews Neuroscience, 22 (12), 723-740. doi: 10.1038/s41583-021-00531-y
Targeting TMPRSS2 and Cathepsin B/L together may be synergistic against SARS-CoV-2 infection
Padmanabhan, Pranesh, Desikan, Rajat and Dixit, Narendra M. (2020). Targeting TMPRSS2 and Cathepsin B/L together may be synergistic against SARS-CoV-2 infection. PLoS Computational Biology, 16 (12) e1008461, e1008461. doi: 10.1371/journal.pcbi.1008461
Opening of smaller toxin pores by lipid micelle formation
Desikan, Rajat, Padmanabhan, Pranesh and Ganapathy Ayappa, K. (2020). Opening of smaller toxin pores by lipid micelle formation. Proceedings of the National Academy of Sciences of the United States of America, 117 (10), 5107-5108. doi: 10.1073/pnas.1921467117
Padmanabhan, Pranesh, Martínez-Mármol, Ramón, Xia, Di, Götz, Jürgen and Meunier, Frédéric A. (2019). Frontotemporal dementia mutant Tau promotes aberrant Fyn nanoclustering in hippocampal dendritic spines. eLife, 8 e45040. doi: 10.7554/elife.45040
Venugopal, Vishnu, Padmanabhan, Pranesh, Raja, Rubesh and Dixit, Narendra M (2018). Modelling how responsiveness to interferon improves interferon-free treatment of hepatitis C virus infection. PLoS Computational Biology, 14 (7) e1006335, e1006335. doi: 10.1371/journal.pcbi.1006335
Axon growth regulation by a bistable molecular switch
Padmanabhan, Pranesh and Goodhill, Geoffrey J. (2018). Axon growth regulation by a bistable molecular switch. Proceedings of the Royal Society of London B: Biological Sciences, 285 (1877) 20172618, 20172618. doi: 10.1098/rspb.2017.2618
Inhibitors of hepatitis C virus entry may be potent ingredients of optimal drug combinations
Padmanabhan, Pranesh and Dixit, Narendra M. (2017). Inhibitors of hepatitis C virus entry may be potent ingredients of optimal drug combinations. Proceedings of the National Academy of Sciences, 114 (23), E4524-E4526. doi: 10.1073/pnas.1704531114
Padmanabhan, Pranesh, Garaigorta, Urtzi and Dixit, Narendra M. (2014). Emergent properties of the interferon-signalling network may underlie the success of hepatitis C treatment. Nature Communications, 5 (1) 3872, 1-9. doi: 10.1038/ncomms4872
Padmanabhan, Pranesh and Dixit, Narendra M. (2011). Mathematical model of viral kinetics in vitro estimates the number of E2-CD81 complexes necessary for hepatitis C virus entry. PLoS Computational Biology, 7 (12) e1002307, e1002307-e1002307. doi: 10.1371/journal.pcbi.1002307