Cargando…
Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning
In vitro selection queries large combinatorial libraries for sequence-defined polymers with target binding and reaction catalysis activity. While the total sequence space of these libraries can extend beyond 10(22) sequences, practical considerations limit starting sequences to ≤~10(15) distinct mol...
Autores principales: | Chen, Jonathan C., Chen, Jonathan P., Shen, Max W., Wornow, Michael, Bae, Minwoo, Yeh, Wei-Hsi, Hsu, Alvin, Liu, David R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352670/ https://www.ncbi.nlm.nih.gov/pubmed/35927274 http://dx.doi.org/10.1038/s41467-022-31955-4 |
Ejemplares similares
-
Enzyme-Free Translation of DNA into Sequence-Defined Synthetic Polymers Structurally Unrelated to Nucleic Acids
por: Niu, Jia, et al.
Publicado: (2013) -
The Inhibition of Anti-DNA Binding to DNA by Nucleic Acid Binding Polymers
por: Stearns, Nancy A., et al.
Publicado: (2012) -
Evolution of Sequence-Defined Highly Functionalized Nucleic Acid Polymers
por: Chen, Zhen, et al.
Publicado: (2018) -
APLUS: A Python library for usefulness simulations of machine learning models in healthcare
por: Wornow, Michael, et al.
Publicado: (2023) -
Structured Waters Mediate Small Molecule Binding to G-Quadruplex Nucleic Acids
por: Neidle, Stephen
Publicado: (2021)