Andrew Hung, Ph.D.
Affiliations: | 2012- | School of Science | RMIT University, Melbourne, Victoria, Australia |
Google:
"https://scholar.google.com/citations?user=kv5TEjwAAAAJ&hl=en"Mean distance: (not calculated yet)
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Bony AR, McArthur JR, Komori A, et al. (2022) . Molecular Pharmacology |
| McArthur JR, Wen J, Hung A, et al. (2022) µ-Theraphotoxin Pn3a inhibition of Ca3.3 channels reveals a novel isoform-selective drug binding site. Elife. 11 |
| Liang J, Bonvino NP, Hung A, et al. (2020) In silico characterisation of olive phenolic compounds as potential cyclooxygenase modulators. Part 2. Journal of Molecular Graphics & Modelling. 101: 107743 |
| Liang J, Karagiannis C, Pitsillou E, et al. (2020) Site mapping and small molecule blind docking reveal a possible target site on the SARS-CoV-2 main protease dimer interface. Computational Biology and Chemistry. 89: 107372 |
| Wen J, Adams DJ, Hung A. (2020) Interactions of the α3β2 Nicotinic Acetylcholine Receptor Interfaces with α-Conotoxin LsIA and its Carboxylated C-terminus Analogue: Molecular Dynamics Simulations. Marine Drugs. 18 |
| Liang J, Pitsillou E, Karagiannis C, et al. (2020) Interaction of the prototypical α-ketoamide inhibitor with the SARS-CoV-2 main protease active site in silico: Molecular dynamic simulations highlight the stability of the ligand-protein complex. Computational Biology and Chemistry. 87: 107292 |
| Luo S, Lenon GB, Gill H, et al. (2020) Inhibitory effect of a weight-loss Chinese herbal formula RCM-107 on pancreatic α-amylase activity: Enzymatic and in silico approaches. Plos One. 15: e0231815 |
| Luo S, Gill H, Feltis B, et al. (2020) The Effects of a Weight-Loss Herbal Formula RCM-107 and Its Eight Individual Ingredients on Glucagon-Like Peptide-1 Secretion-An In Vitro and In Silico Study. International Journal of Molecular Sciences. 21 |
| Pitsillou E, Liang J, Hung A, et al. (2020) Molecular docking utilising the OliveNet™ library reveals novel phenolic compounds which may potentially target key proteins associated with major depressive disorder. Computational Biology and Chemistry. 86: 107234 |
| Pitsillou E, Liang J, Hung A, et al. (2020) Chromatin modification by olive phenolics: In silico molecular docking studies utilising the phenolic groups categorised in the OliveNet™ database against lysine specific demethylase enzymes. Journal of Molecular Graphics & Modelling. 97: 107575 |