Abstract
Membrane proteins play critical physiological roles as receptors, channels, pumps, and transporters. Despite their importance, however, low expression levels often hamper the experimental characterization of membrane proteins. We present an automated and web-accessible design algorithm called mPROSS (https://mPROSS.weizmann.ac.il), which uses phylogenetic analysis and an atomistic potential, including an empirical lipophilicity scale, to improve native-state energy. As a stringent test, we apply mPROSS to the Kv1.2–Kv2.1 paddle chimera voltage-gated potassium channel. Four designs, encoding 9–26 mutations relative to the parental channel, were functional and maintained potassium-selective permeation and voltage dependence in Xenopus oocytes with up to 14-fold increase in whole-cell current densities. Additionally, single-channel recordings reveal no significant change in the channel-opening probability nor in unitary conductance, indicating that functional expression levels increase without impacting the activity profile of individual channels. Our results suggest that the expression levels of other dynamic channels and receptors may be enhanced through one-shot design calculations.
Original language | English |
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Article number | e4995 |
Journal | Protein Science |
Volume | 33 |
Issue number | 6 |
Early online date | 15 May 2024 |
DOIs | |
Publication status | Published - Jun 2024 |
Funding
We thank Nir Fluman for critical discussions. Research in the Fleishman lab was supported by the Israel Science Foundation (1844), the European Research Council through a Consolidator Award (815379), the Dr. Barry Sherman Institute for Medicinal Chemistry, and a donation in memory of Sam Switzer. Research in the Reuveny lab was supported by the Israeli Science Foundation (349/22), the Wilner Family Fund, and the Gladys Monroy and Larry Marks Center for Brain Disorders. E. R. is the incumbent of the Charles H. Hollenberg Professorial Chair. Publisher Copyright: © 2024 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society.
All Science Journal Classification (ASJC) codes
- Biochemistry
- Molecular Biology