Cargando…
Machine learning-based approaches for ubiquitination site prediction in human proteins
Protein ubiquitination is a critical post-translational modification (PTMs) involved in numerous cellular processes. Identifying ubiquitination sites (Ubi-sites) on proteins offers valuable insights into their function and regulatory mechanisms. Due to the cost- and time-consuming nature of traditio...
Autores principales: | Pourmirzaei, Mahdi, Ramazi, Shahin, Esmaili, Farzaneh, Shojaeilangari, Seyedehsamaneh, Allahvardi, Abdollah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683244/ https://www.ncbi.nlm.nih.gov/pubmed/38017391 http://dx.doi.org/10.1186/s12859-023-05581-w |
Ejemplares similares
-
A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications
por: Hashemzadeh, Hadi, et al.
Publicado: (2021) -
Microfluidic investigation of the effect of graphene oxide on mechanical properties of cell and actin cytoskeleton networks: experimental and theoretical approaches
por: Ghorbani, Mohammad, et al.
Publicado: (2021) -
rsfMRI based evidence for functional connectivity alterations in adults with developmental stuttering
por: Shojaeilangari, Seyedehsamaneh, et al.
Publicado: (2021) -
Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
por: Khalili, Elham, et al.
Publicado: (2020) -
An Update of Epigenetic Drugs for the Treatment of Cancers and Brain Diseases: A Comprehensive Review
por: Sahafnejad, Zahra, et al.
Publicado: (2023)