Cargando…
Machine learning screening of bile acid-binding peptides in a peptide database derived from food proteins
Bioactive peptides (BPs) are protein fragments that exhibit a wide variety of physicochemical properties, such as basic, acidic, hydrophobic, and hydrophilic properties; thus, they have the potential to interact with a variety of biomolecules, whereas neither carbohydrates nor fatty acids have such...
Autores principales: | Imai, Kento, Shimizu, Kazunori, Honda, Hiroyuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352859/ https://www.ncbi.nlm.nih.gov/pubmed/34373503 http://dx.doi.org/10.1038/s41598-021-95461-1 |
Ejemplares similares
-
In Silico Screening of a Bile Acid Micelle Disruption Peptide for Oral Consumptions from Edible Peptide Database
por: Imai, Kento, et al.
Publicado: (2021) -
Interaction between porous silica gel microcarriers and peptides for oral administration of functional peptides
por: Imai, Kento, et al.
Publicado: (2018) -
Effects of the properties of short peptides conjugated with cell-penetrating peptides on their internalization into cells
por: Matsumoto, Ryo, et al.
Publicado: (2015) -
Accelerating the Screening of Small Peptide Ligands by Combining Peptide-Protein Docking and Machine Learning
por: Codina, Josep-Ramon, et al.
Publicado: (2023) -
Machine Learning Methods for Predicting HLA–Peptide Binding Activity
por: Luo, Heng, et al.
Publicado: (2015)