Cargando…
DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network
Due to the importance of protein-protein interactions in defence mechanism of living body, attempts were made to investigate its attributes, including, but not limited to, binding affinity, and binding region. Contemporary strategies for binding site prediction largely resort to deep learning techni...
Autores principales: | Sunny, Sharon, Prakash, Pebbeti Bhanu, Gopakumar, G., Jayaraj, P. B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191823/ https://www.ncbi.nlm.nih.gov/pubmed/37198346 http://dx.doi.org/10.1007/s10930-023-10121-9 |
Ejemplares similares
-
DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites
por: Zhang, Jidong, et al.
Publicado: (2022) -
GraphSite: Ligand Binding Site Classification with Deep Graph Learning
por: Shi, Wentao, et al.
Publicado: (2022) -
ADH-PPI: An attention-based deep hybrid model for protein-protein interaction prediction
por: Asim, Muhammad Nabeel, et al.
Publicado: (2022) -
Graph Attention Site Prediction (GrASP): Identifying Druggable Binding Sites Using Graph Neural Networks with Attention
por: Smith, Zachary, et al.
Publicado: (2023) -
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks
por: Pandey, Mohit, et al.
Publicado: (2022)