Cargando…
Genomic representation predicts an asymptotic host adaptation of bat coronaviruses using deep learning
INTRODUCTION: Coronaviruses (CoVs) are naturally found in bats and can occasionally cause infection and transmission in humans and other mammals. Our study aimed to build a deep learning (DL) method to predict the adaptation of bat CoVs to other mammals. METHODS: The CoV genome was represented with...
Autores principales: | Li, Jing, Tian, Fengjuan, Zhang, Sen, Liu, Shun-Shuai, Kang, Xiao-Ping, Li, Ya-Dan, Wei, Jun-Qing, Lin, Wei, Lei, Zhongyi, Feng, Ye, Jiang, Jia-Fu, Jiang, Tao, Tong, Yigang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198438/ https://www.ncbi.nlm.nih.gov/pubmed/37213516 http://dx.doi.org/10.3389/fmicb.2023.1157608 |
Ejemplares similares
-
Asymptotic representation of relaxation oscillations in lasers
por: Grigorieva, Elena V, et al.
Publicado: (2017) -
Evolutionary Relationships between Bat Coronaviruses and Their Hosts
por: Cui, Jie, et al.
Publicado: (2007) -
A bat MERS-like coronavirus circulates in pangolins and utilizes human DPP4 and host proteases for cell entry
por: Chen, Jing, et al.
Publicado: (2023) -
Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants
por: Li, Jing, et al.
Publicado: (2022) -
N-glycoproteomic profiling revealing novel coronavirus therapeutic targets potentially involved in Cepharanthine's intervention
por: An, Wenlin, et al.
Publicado: (2022)