Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning
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Title
Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning
Authors
Keywords
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Journal
Nature Communications
Volume 13, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-08-05
DOI
10.1038/s41467-022-31955-4
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- Generation of high-affinity DNA aptamers using an expanded genetic alphabet
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- Next-generation sequencing reveals how RNA catalysts evolve from random space
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- Comprehensive experimental fitness landscape and evolutionary network for small RNA
- (2013) J. I. Jimenez et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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