Cargando…
ROSes-FINDER: a multi-task deep learning framework for accurate prediction of microorganism reactive oxygen species scavenging enzymes
Reactive oxygen species (ROS) are highly reactive molecules that play important roles in microbial biological processes. However, excessive accumulation of ROS can lead to oxidative stress and cellular damage. Microorganism have evolved a diverse suite of enzymes to mitigate the harmful effects of R...
Autores principales: | Yan, Yueyang, Shi, Zhanpeng, Wei, Haijian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513406/ https://www.ncbi.nlm.nih.gov/pubmed/37744924 http://dx.doi.org/10.3389/fmicb.2023.1245805 |
Ejemplares similares
-
Signaling Toward Reactive Oxygen Species-Scavenging Enzymes in Plants
por: Dvořák, Petr, et al.
Publicado: (2021) -
Nanocomposite-based dual enzyme system for broad-spectrum scavenging of reactive oxygen species
por: Pavlovic, Marko, et al.
Publicado: (2021) -
Aflatoxins are natural scavengers of reactive oxygen species
por: Finotti, E., et al.
Publicado: (2021) -
An accurate probabilistic step finder for time-series analysis
por: Rojewski, Alex, et al.
Publicado: (2023) -
Improvement of Thermotolerance of Zymomonas mobilis by Genes for Reactive Oxygen Species-Scavenging Enzymes and Heat Shock Proteins
por: Anggarini, Sakunda, et al.
Publicado: (2020)