Cargando…
AI4AVP: an antiviral peptides predictor in deep learning approach with generative adversarial network data augmentation
MOTIVATION: Antiviral peptides (AVPs) from various sources suggest the possibility of developing peptide drugs for treating viral diseases. Because of the increasing number of identified AVPs and the advances in deep learning theory, it is reasonable to experiment with peptide drug design using in s...
Autores principales: | Lin, Tzu-Tang, Sun, Yih-Yun, Wang, Ching-Tien, Cheng, Wen-Chih, Lu, I-Hsuan, Lin, Chung-Yen, Chen, Shu-Hwa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710571/ https://www.ncbi.nlm.nih.gov/pubmed/36699402 http://dx.doi.org/10.1093/bioadv/vbac080 |
Ejemplares similares
-
AI4AMP: an Antimicrobial Peptide Predictor Using Physicochemical Property-Based Encoding Method and Deep Learning
por: Lin, Tzu-Tang, et al.
Publicado: (2021) -
MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification
por: Liao, Chun-Chieh, et al.
Publicado: (2022) -
Phenotypic characterization of Arabidopsis thaliana lines overexpressing AVP1 and MIOX4 in response to abiotic stresses
por: Nepal, Nirman, et al.
Publicado: (2020) -
SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion
por: Canson, Daffodil M, et al.
Publicado: (2023) -
Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation
por: Schaduangrat, Nalini, et al.
Publicado: (2019)