Vasanthanathan Poongavanam
Affiliations: | Uppsala University, Sweden |
Area:
Computational ChemistryGoogle:
"Vasanthanathan Poongavanam"Mean distance: (not calculated yet)
Cross-listing: Physics Tree
Parents
Sign in to add mentorChris Oostenbrink | grad student | 2007-2010 | VU Amsterdam (Physics Tree) |
Jacob Kongsted | grad student | 2013-2015 | University of Southern Denmark (Physics Tree) |
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Publications
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Hemant Kumar S, Muthukumaran V, Sistla R, et al. (2024) Advances in molecular glues: exploring chemical space and design principles for targeted protein degradation. Drug Discovery Today. 104205 |
Riu F, Ruppitsch LA, Duy Vo D, et al. (2024) Discovery of a Series of Macrocycles as Potent Inhibitors of . Journal of Medicinal Chemistry |
Poongavanam V, Vo DD, Kihlberg J. (2024) Beware of extreme calculated lipophilicity when designing cyclic peptides. Nature Chemical Biology. 20: 1242-1245 |
Zhou Y, Zhou F, Xu S, et al. (2024) Hydrophobic tagging of small molecules: an overview of the literature and future outlook. Expert Opinion On Drug Discovery. 1-15 |
Apprato G, Poongavanam V, Garcia Jimenez D, et al. (2024) Exploring the chemical space of orally bioavailable PROTACs. Drug Discovery Today. 29: 103917 |
Poongavanam V, Wieske LHE, Peintner S, et al. (2023) Molecular chameleons in drug discovery. Nature Reviews. Chemistry. 8: 45-60 |
Jin Y, Wang S, Xu S, et al. (2023) Targeting hepatitis B virus cccDNA levels: Recent progress in seeking small molecule drug candidates. Drug Discovery Today. 103617 |
Garcia Jimenez D, Poongavanam V, Kihlberg J. (2023) Macrocycles in Drug Discovery─Learning from the Past for the Future. Journal of Medicinal Chemistry. 66: 5377-5396 |
Poongavanam V, Kölling F, Giese A, et al. (2023) Predictive Modeling of PROTAC Cell Permeability with Machine Learning. Acs Omega. 8: 5901-5916 |
Sethio D, Poongavanam V, Xiong R, et al. (2022) Simulation Reveals the Chameleonic Behavior of Macrocycles. Journal of Chemical Information and Modeling. 63: 138-146 |