Assembly of transmembrane pores from mirror-image peptides
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DOI: 10.1038/s41467-022-33155-6
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- Changjiang Dong & Konstantinos Beis & Jutta Nesper & Anne L. Brunkan-LaMontagne & Bradley R. Clarke & Chris Whitfield & James H. Naismith, 2006. "Wza the translocon for E. coli capsular polysaccharides defines a new class of membrane protein," Nature, Nature, vol. 444(7116), pages 226-229, November.
- B. A. Cornell & V. L. B. Braach-Maksvytis & L. G. King & P. D. J. Osman & B. Raguse & L. Wieczorek & R. J. Pace, 1997. "A biosensor that uses ion-channel switches," Nature, Nature, vol. 387(6633), pages 580-583, June.
- Chunfu Xu & Peilong Lu & Tamer M. Gamal El-Din & Xue Y. Pei & Matthew C. Johnson & Atsuko Uyeda & Matthew J. Bick & Qi Xu & Daohua Jiang & Hua Bai & Gabriella Reggiano & Yang Hsia & T J Brunette & Jia, 2020. "Computational design of transmembrane pores," Nature, Nature, vol. 585(7823), pages 129-134, September.
- Tim Diederichs & Genevieve Pugh & Adam Dorey & Yongzheng Xing & Jonathan R. Burns & Quoc Hung Nguyen & Marc Tornow & Robert Tampé & Stefan Howorka, 2019. "Synthetic protein-conductive membrane nanopores built with DNA," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
- Gang Huang & Arnout Voet & Giovanni Maglia, 2019. "FraC nanopores with adjustable diameter identify the mass of opposite-charge peptides with 44 dalton resolution," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
- Rasmus P. Thomsen & Mette Galsgaard Malle & Anders Hauge Okholm & Swati Krishnan & Søren S.-R. Bohr & Rasmus Schøler Sørensen & Oliver Ries & Stefan Vogel & Friedrich C. Simmel & Nikos S. Hatzakis & J, 2019. "A large size-selective DNA nanopore with sensing applications," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
- Po-Ssu Huang & Scott E. Boyken & David Baker, 2016. "The coming of age of de novo protein design," Nature, Nature, vol. 537(7620), pages 320-327, September.
- Fabien Piguet & Hadjer Ouldali & Manuela Pastoriza-Gallego & Philippe Manivet & Juan Pelta & Abdelghani Oukhaled, 2018. "Identification of single amino acid differences in uniformly charged homopolymeric peptides with aerolysin nanopore," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
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