Cargando…
AptaNet as a deep learning approach for aptamer–protein interaction prediction
Aptamers are short oligonucleotides (DNA/RNA) or peptide molecules that can selectively bind to their specific targets with high specificity and affinity. As a powerful new class of amino acid ligands, aptamers have high potentials in biosensing, therapeutic, and diagnostic fields. Here, we present...
Autores principales: | Emami, Neda, Ferdousi, Reza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971039/ https://www.ncbi.nlm.nih.gov/pubmed/33727685 http://dx.doi.org/10.1038/s41598-021-85629-0 |
Ejemplares similares
-
AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders
por: Shin, Incheol, et al.
Publicado: (2023) -
Aptamers as the Agent in Decontamination Assays (Apta-Decontamination Assays): From the Environment to the Potential Application In Vivo
por: Bilibana, Mawethu Pascoe, et al.
Publicado: (2017) -
Investigation of a Truncated Aptamer for Ofloxacin Detection Using a Rapid FRET-Based Apta-Assay
por: Ben Aissa, Sondes, et al.
Publicado: (2020) -
An Apta-Biosensor for Colon Cancer Diagnostics
por: Ahmadzadeh Raji, Mojgan, et al.
Publicado: (2015) -
AptaSUITE: A Full-Featured Bioinformatics Framework for the Comprehensive Analysis of Aptamers from HT-SELEX Experiments
por: Hoinka, Jan, et al.
Publicado: (2018)