Ion current modulation in bio-mimetic channel systems

Zhao, Shidi

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https://hdl.handle.net/2142/113238 Copy

Description

Title

Ion current modulation in bio-mimetic channel systems

Author(s)

Zhao, Shidi

Issue Date

2021-06-18

Director of Research (if dissertation) or Advisor (if thesis)

Aksimentiev, Aleksei

Doctoral Committee Chair(s)

Aksimentiev, Aleksei

Committee Member(s)

• Grosman, Claudio
• Shukla, Diwakar
• Pogorelov, Taras

Department of Study

School of Molecular & Cell Bio

Discipline

Biophysics & Quant Biology

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

ion channels, MD simulation

Abstract

Ion channels form information processing in living cells by facilitating electrical signals across and along cellular membranes. Applying the same principles to man-made systems requires synthetic ion channels that can alter their conductance in response to various external manipulations. And the modulation of ionic current is a signal for nanopore sensing. Here, several simulation studies focusing on ion channel conductance modulation and nanopore sensing are presented. Specifically, comprehensive research on a designed bio-mimetic channel can lead to the ionic current modulation by removable peptide gating in nanopore (FraC), which has the application in biomedical engineering fields such as recognition amino acid sequence and analysis of amino acids and their post-translational modifications for therapeutic purposes. The all-atom simulation models of studying ABA copolymer gating mechanism and a mechanosensitive channel (MscL) gated by thermo-mechanical sensitive ABA copolymer membrane. These works represent potential applications of drug delivery engineering. The nanopore sequencing system by using various mutant CsgG to sense different DNA sequences. Several factors affect the ionic current in nanopore channels, including the shape of the channel, the different DNA nucleotides’ packing geometry, the electroosmotic flow (EOF) in nanopores. These works represent potential applications of improving nanopore sequencing distinguishability.

Graduation Semester

2021-08

Type of Resource

Thesis

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http://hdl.handle.net/2142/113238

Copyright and License Information

Copyright 2021 Shidi Zhao

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