The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
In vitro selection with artificial expanded genetic information systems
Open accessAbstract
Significance: Many chemicals are valuable because they bind to other molecules. Chemical theory cannot directly design “binders.” However, we might recreate in the laboratory the Darwinian processes that nature uses to create binders. This in vitro evolution uses nucleic acids as binders, libraries of DNA/RNA to survive a selection challenge before they can have “children” (systematic evolution of ligands by exponential enrichment, SELEX). Unfortunately, with only four nucleotides, natural DNA/RNA often yields only poor binders, perhaps because they are built from only four building blocks. Synthetic biology has increased the number of DNA/RNA building blocks, with tools to sequence, PCR amplify, and clone artificially expanded genetic information systems (AEGISs). We report here the first example of a SELEX using AEGIS, producing a molecule that binds to cancer cells.
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Cites
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Dunn, M. R., Jimenez, R. M., & Chaput, J. C. (2017) · Nature Reviews Chemistry · doi:10.1038/s41570-017-0076 · Cited by 938
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Self-citationAptamers: A Review of Their Chemical Properties and Modifications for Therapeutic Application
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Experimental fitness landscapes to understand the molecular evolution of RNA-based life
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Metadata
- Authors
- Sefah, K., Yang, Z., Bradley, K. M., Hoshika, S., Jiménez, E., Zhang, L., Zhu, G., Shanker, S., Yu, F., Turek, D., Tan, W., & Benner, S. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-12-30
- Volume
- 111
- Issue
- 4
- Pages
- 1449-1454
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1986326400
- Cited by
- 330
- References
- 30
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sefah, K., Yang, Z., Bradley, K. M., Hoshika, S., Jiménez, E., Zhang, L., Zhu, G., Shanker, S., Yu, F., Turek, D., Tan, W., & Benner, S. A. (2014). In vitro selection with artificial expanded genetic information systems. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1311778111
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