Uploaded July 2025 | Updated September 2026, 2 weeks ago
Antibiotic resistance is one of the biggest challenges in modern medicine, and researchers are exploring new solutions with antimicrobial peptides (AMPs)—small molecules naturally produced by living organisms to fight infections—this time, inspired by octopuses.
We chat to Dr Wenyi Li and Dr Andrew Hung to learn more about their research.
🔗Read more: Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis - ScienceDirect
Authors:
Pengyu Chen, Chunyuan Li, Sihui Li, Jackson Nkoh Nkoh, Chenjing Shang – Shenzhen University, China 🇨🇳
Tianmeng Zhang, Praveen Praveen, Kathy Parisi, Siyang Ding, Yuning Hong, Wenyi Li – La Trobe University, Australia 🇦🇺
Chia Beh, Andrew Hung – RMIT University, Australia 🇦🇺
John D. Wade – The Florey Institute and the University of Melbourne, Australia 🇦🇺
00:00 - 00:53 Dr Andrew Hung introduction
00:53 - 01:04 Dr Wenyi Li introduction
01:04 - 05:46 The research project
05:46 - 07:33 Key findings
07:33 - 09:59 AI use
09:59 - 10:27 Future research
Antibiotic resistance is one of the biggest challenges in modern medicine, and researchers are exploring new solutions with antimicrobial peptides (AMPs)—small molecules naturally produced by living organisms to fight infections—this time, inspired by octopuses.
We chat to Dr Wenyi Li and Dr Andrew Hung to learn more about their research.
🔗Read more: Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis - ScienceDirect
Authors:
Pengyu Chen, Chunyuan Li, Sihui Li, Jackson Nkoh Nkoh, Chenjing Shang – Shenzhen University, China 🇨🇳
Tianmeng Zhang, Praveen Praveen, Kathy Parisi, Siyang Ding, Yuning Hong, Wenyi Li – La Trobe University, Australia 🇦🇺
Chia Beh, Andrew Hung – RMIT University, Australia 🇦🇺
John D. Wade – The Florey Institute and the University of Melbourne, Australia 🇦🇺
00:00 - 00:53 Dr Andrew Hung introduction
00:53 - 01:04 Dr Wenyi Li introduction
01:04 - 05:46 The research project
05:46 - 07:33 Key findings
07:33 - 09:59 AI use
09:59 - 10:27 Future research










![2024PawseyInternKSchrick
Ionisation within ion-atom collisions is a process of significant interest due to its wide-ranging applications. Accuracy of cross-section data is essential when considering application to fields such as hadron therapy where preventing harm to patients is of paramount importance. Modelling ionisation is particularly challenging due to the motion of the ejected electron in both the projectile and residual target fields after the collision. This requires a theory that accounts for the interactions between all the particles within two-centre formalism. The two-centre wave-packet convergent close-coupling (WP-CCC) method developed within our group [Abdurakhmanov et al., Phys. Rev. A 104 (2021) 042820] is designed to do just that. Total ionisation cross sections have been calculated [Abdurakhmanov et al., Phys. Rev. A 94 (2016) 022703], however, a more stringent test of theory is the singly differential cross section. Previously, variations of the CCC method, using fully quantum-mechanical [Abdurakhmanov et al., J. Phys. B 44 (2011) 165203] and Laguerre [McGovern et al., Phys. Rev. A 79 (2009) 042707] continuum wave functions, predicted singly differential cross sections (SDCS) monotonically decreasing with increasing ejected electron energy at all incident projectile energies. The WP-CCC approach on the other hand, exhibits a maximum away from the zero-energy point, most evident for projectile energies below 50 keV [Abdurakhmanov et al., Phys. Rev. A 94 (2016) 022703]. The aim of this project is to investigate this problem and recalculate the singly differential ionisation cross section for multiple collision systems. 2024PawseyInternKSchrick](https://i.ytimg.com/vi/Kl_6N4ZAMdw/mqdefault.jpg)