Ellington, Andrew D.
The University of Texas at Austin
15 papers on CoChatORCID 0000-0001-6246-5338
Most cited papers
- Verified
Aptamers as therapeutics
Keefe, A. D., Pai, S., & Ellington, A. (2010) · Nature Reviews Drug Discovery
Advanced biosensing and bioanalysis techniquesRNA Interference and Gene Delivery
Cited by 2,289
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Hachimoji DNA and RNA: A genetic system with eight building blocks.
Hoshika, S., Leal, N. A., Kim, M.-J., Kim, M.-S., Karalkar, N. B., Kim, H.-J., Bates, A. M., Watkins, N. E., SantaLucia, H. A., Meyer, A. J., et al. (2019) · Science
DNA and Nucleic Acid ChemistryRNA and protein synthesis mechanisms
Cited by 494
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Modern metabolism as a palimpsest of the RNA world
Benner, S. A., Ellington, A. D., & Tauer, A. (1989) · Proceedings of the National Academy of Sciences
Origins and Evolution of LifeRNA and protein synthesis mechanisms
Cited by 478
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Synthetic DNA Synthesis and Assembly: Putting the Synthetic in Synthetic Biology
Hughes, R. A., & Ellington, A. D. (2017) · Cold Spring Harbor Perspectives in Biology
DNA and Nucleic Acid ChemistryCRISPR and Genetic Engineering
Cited by 411
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High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire
DeKosky, B. J., Ippolito, G. C., Deschner, R. P., Lavinder, J. J., Wine, Y., Rawlings, B. M., Varadarajan, N., Giesecke, C., Dörner, T., Andrews, S. F., et al. (2013) · Nature Biotechnology
T-cell and B-cell ImmunologyMonoclonal and Polyclonal Antibodies Research
Cited by 410
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Monoclonal antibodies isolated without screening by analyzing the variable-gene repertoire of plasma cells
Reddy, S. T., Ge, X., Miklos, A. E., Hughes, R. A., Kang, S. H., Hoi, K. H., Chrysostomou, C., Hunicke-Smith, S. P., Iverson, B. L., Tucker, P. W., et al. (2010) · Nature Biotechnology
Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology
Cited by 292
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Real-time detection of isothermal amplification reactions with thermostable catalytic hairpin assembly
Jiang, Y. (., Li, B., Milligan, J. N., Bhadra, S., & Ellington, A. D. (2013) · Journal of the American Chemical Society
Advanced biosensing and bioanalysis techniquesBiosensors and Analytical Detection
Cited by 292
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Ribozyme Catalysis of Metabolism in the RNA World
Chen, X., Li, N., & Ellington, A. D. (2007) · Chemistry & Biodiversity
Origins and Evolution of LifeRNA and protein synthesis mechanisms
Cited by 196
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Recursive genomewide recombination and sequencing reveals a key refinement step in the evolution of a metabolic innovation in Escherichia coli
Quandt, E. M., Deatherage, D. E., Ellington, A. D., Georgiou, G., & Barrick, J. E. (2014) · Proceedings of the National Academy of Sciences
Evolution and Genetic DynamicsMicrobial Metabolic Engineering and Bioproduction
Cited by 78
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Synthetic microbial sensing and biosynthesis of amaryllidaceae alkaloids
d’Oelsnitz, S., Diaz, D., Acosta, D., Schechter, M., Minus, M., Howard, J., Loy, J., Do, H., Alper, H. S., & Ellington, A. D. (2023) · Nature Communications
Enzyme Catalysis and ImmobilizationPlant biochemistry and biosynthesis
Cited by 58
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Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme
d’Oelsnitz, S., Diaz, D. J., Kim, W., Acosta, D. J., Dangerfield, T. L., Schechter, M. W., Minus, M. B., Howard, J. R., Do, H., Loy, J. M., et al. (2024) · Nature Communications
Enzyme Catalysis and ImmobilizationPlant biochemistry and biosynthesis
Cited by 58
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Surprising fidelity of template-directed chemical ligation of oligonucleotides
James, K. D., & Ellington, A. D. (1997) · Chemistry & Biology
Origins and Evolution of LifeRNA and protein synthesis mechanisms
Cited by 50
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The search for missing links between self-replicating nucleic ACIDs and the RNA world
James, K. D., & Ellington, A. D. (1995) · Origins of life and evolution of the biosphere
Origins and Evolution of LifeRNA and protein synthesis mechanisms
Cited by 39
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Learning the local landscape of protein structures with convolutional neural networks
Kulikova, A. V., Diaz, D. J., Loy, J. M., Ellington, A. D., & Wilke, C. O. (2021) · Journal of Biological Physics
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 23
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Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Kulikova, A. V., Diaz, D. J., Chen, T., Cole, T. J., Ellington, A. D., & Wilke, C. O. (2023) · Scientific Reports
Machine Learning in BioinformaticsProtein Structure and Dynamics
Cited by 15
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