Abstract
Memory in physical systems is often viewed as a property of electronic components and computers. However, any system dependent on past events can display memory, whether electronic or biophysical. One such system is that formed by lysenin, a pore-forming toxin with many unusual properties. Lysenin typically displays hysteresis at positive voltages; however, when exposed to copper, this effect becomes significantly more prominent. In this situation, the conductance of lysenin channels at zero applied voltage is dependent not only on outside stimuli, but also on their recent history. We measured this effect within an artificial planar bilayer lipid membrane by applying small AC voltages to channels at various voltage levels and states. Furthermore, we designed a Python script to analyze the resulting data, making it simpler to distinguish between the different memory states of our channels. Ultimately, we intend to create a full mathematical model based on differential memory equations to describe the behavior of lysenin channels.
| Original language | American English |
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| State | Published - 1 Jul 2022 |
| Event | Idaho Conference on Undergraduate Research 2022 - Boise State University, Boise, United States Duration: 1 Jul 2022 → … https://scholarworks.boisestate.edu/icur/2022/ |
Conference
| Conference | Idaho Conference on Undergraduate Research 2022 |
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| Abbreviated title | ICUR 2022 |
| Country/Territory | United States |
| City | Boise |
| Period | 1/07/22 → … |
| Internet address |