Cargando…
ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors
The type III secretion system (T3SS) is a special protein delivery system in Gram-negative bacteria which delivers T3SS-secreted effectors (T3SEs) to host cells causing pathological changes. Numerous experiments have verified that T3SEs play important roles in many biological activities and in host-...
Autores principales: | Li, Jie, Li, Zhong, Luo, Jiesi, Yao, Yuhua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157791/ https://www.ncbi.nlm.nih.gov/pubmed/32328150 http://dx.doi.org/10.1155/2020/3974598 |
Ejemplares similares
-
Effective Identification of Gram-Negative Bacterial Type III Secreted Effectors Using Position-Specific Residue Conservation Profiles
por: Yang, Xiaojiao, et al.
Publicado: (2013) -
DeepT3 2.0: improving type III secreted effector predictions by an integrative deep learning framework
por: Jing, Runyu, et al.
Publicado: (2021) -
DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors
por: Yu, Lezheng, et al.
Publicado: (2021) -
T3SEdb: data warehousing of virulence effectors secreted by the bacterial Type III Secretion System
por: Tay, Daniel Ming Ming, et al.
Publicado: (2010) -
T3SEpp: an Integrated Prediction Pipeline for Bacterial Type III Secreted Effectors
por: Hui, Xinjie, et al.
Publicado: (2020)