Cargando…
A Survey on Deep Networks Approaches in Prediction of Sequence-Based Protein–Protein Interactions
The prominence of protein–protein interactions (PPIs) in system biology with diverse biological procedures has become the topic to discuss because it acts as a fundamental part in predicting the protein function of the target protein and drug ability of molecules. Numerous researches have been publi...
Autores principales: | Mewara, Bhawna, Lalwani, Soniya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119573/ https://www.ncbi.nlm.nih.gov/pubmed/35611239 http://dx.doi.org/10.1007/s42979-022-01197-8 |
Ejemplares similares
-
Predicting optimal lockdown period with parametric approach using three-phase maturation SIRD model for COVID-19 pandemic
por: Lalwani, Soniya, et al.
Publicado: (2020) -
Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences
por: Li, Hang, et al.
Publicado: (2018) -
Recent developments of sequence-based prediction of protein–protein interactions
por: Murakami, Yoichi, et al.
Publicado: (2022) -
Sequence-based prediction of protein protein interaction using a deep-learning algorithm
por: Sun, Tanlin, et al.
Publicado: (2017) -
Comparative study of CEA and CA19-9 in esophageal, gastric and colon cancers individually and in combination (ROC curve analysis)
por: Bagaria, Bhawna, et al.
Publicado: (2013)