Aptamer database
Open accessAbstract
The aptamer database is designed to contain comprehensive sequence information on aptamers and unnatural ribozymes that have been generated by in vitro selection methods. Such data are not normally collected in 'natural' sequence databases, such as GenBank. Besides serving as a storehouse of sequences that may have diagnostic or therapeutic utility, the database serves as a valuable resource for theoretical biologists who describe and explore fitness landscapes. The database is updated monthly and is publicly available at http://aptamer. icmb.utexas.edu/.
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Most aptamers and ribozymes have roughly even composition, with 22-28% of each nucleotide.
“Since most aptamers and ribozymes have roughly even composition [22–28% of each nucleotide; (29,30)]”
From The prebiotic evolutionary advantage of transferring genetic information from RNA to DNA (2011) · cites this paper as [30]
Known ribozymes have nearly maximal C4 (average C4 of ribozyme sequence families of length 40-60 is 0.970 ± 0.013).
“Known ribozymes have nearly maximal C4 (average C4 of ribozyme sequence families of length 40–60 is 0.970 ± 0.013; Figure 1b, Supplementary Data) (45).”
From Prebiotically plausible mechanisms increase compositional diversity of nucleic acid sequences (2012) · cites this paper as [45]
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Cites
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Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments
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Prebiotically plausible mechanisms increase compositional diversity of nucleic acid sequences
Derr, J., Manapat, M. L., Rajamani, S., Leu, K., Xulvi-Brunet, R., Joseph, I., Nowak, M. A., & Chen, I. A. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks065 · Cited by 74 · see citing works
Emerging affinity-based techniques in proteomics
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Evolution of the division of labor between genes and enzymes in the RNA world
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- Authors
- Lee, J. F.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Lee, J. F.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-01-01
- Volume
- 32
- Issue
- 90001
- Pages
- 95D-100
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC308828
- OpenAlex
- W4240941162
- Cited by
- 188
- References
- 39
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 1 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 9 · 2019: 7 · 2018: 8 · 2017: 5 · 2016: 8 · 2015: 8 · 2014: 9 · 2013: 9 · 2012: 18
- FWCI
- 2.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Institute of General Medical Sciences (R01GM061789, 1R01 GM61789-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Keywords
- aptamers, in vitro selection, sequence databases, fitness landscape
- MeSH terms
- Base Sequence, Genetic Engineering, Oligonucleotides, RNA, Catalytic, Computational Biology, Base Pairing, Internet, Databases, Nucleic Acid
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