Cargando…
FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding
Prediction of drug-protein binding is critical for virtual drug screening. Many deep learning methods have been proposed to predict the drug-protein binding based on protein sequences and drug representation sequences. However, most existing methods extract features from protein and drug sequences s...
Autores principales: | Yang, Zhihui, Liu, Juan, Zhu, Xuekai, Yang, Feng, Zhang, Qiang, Shah, Hayat Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Higher Education Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745276/ https://www.ncbi.nlm.nih.gov/pubmed/36532946 http://dx.doi.org/10.1007/s11704-022-2163-9 |
Ejemplares similares
-
FragViz: visualization of fragmented networks
por: Štajdohar, Miha, et al.
Publicado: (2010) -
Improving MetFrag with statistical learning of fragment annotations
por: Ruttkies, Christoph, et al.
Publicado: (2019) -
FragIdent – Automatic identification and characterisation of cDNA-fragments
por: Seelow, Dominik, et al.
Publicado: (2009) -
MetFrag relaunched: incorporating strategies beyond in silico fragmentation
por: Ruttkies, Christoph, et al.
Publicado: (2016) -
FragMAX: the fragment-screening platform at the MAX IV Laboratory
por: Lima, Gustavo M. A., et al.
Publicado: (2020)