Video Experimental Relacionado

Updated: Jan 8, 2026

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

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Uso de bibliotecas estructuradas, selección y aprendizaje automático para explorar rápidamente el espacio de

Jaroslav Kurfürst1,2, Martin Volek1,3, Raman Samusevich1,4

  • 1Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague 166 10, Czech Republic.

Nucleic acids research
|December 12, 2025
PubMed
Resumen

Este estudio presenta un método novedoso para explorar el espacio de secuencias de ácidos nucleicos mediante el uso de bibliotecas restringidas y aprendizaje automático. Este enfoque acelera significativamente el descubrimiento de motivos funcionales en comparación con las técnicas tradicionales de mutagénesis aleatoria.

Palabras clave:
ingeniería de ácidos nucleicosbiología molecularbiología computacionalaprendizaje automáticosecuenciación de alto rendimientomotivos de ácidos nucleicosdesoxirribozima fluorescente

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