Cargando…
Protein–Protein Interaction Network Extraction Using Text Mining Methods Adds Insight into Autism Spectrum Disorder
SIMPLE SUMMARY: Research on proteins and their interactions with other proteins yields many new findings that help explain how diseases emerge. However, manual curation of scientific literature delays new discoveries in the field. Artificial intelligence and deep learning techniques have played a si...
Autores principales: | Nezamuldeen, Leena, Jafri, Mohsin Saleet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604135/ https://www.ncbi.nlm.nih.gov/pubmed/37887054 http://dx.doi.org/10.3390/biology12101344 |
Ejemplares similares
-
Data Mining of Molecular Simulations Suggest Key Amino Acid Residues for Aggregation, Signaling and Drug Action
por: Gurunathan, Vaibhav, et al.
Publicado: (2021) -
Neuronal protein interaction networks in autism spectrum disorder
por: Bicks, Lucy K., et al.
Publicado: (2023) -
Integrating protein-protein interactions and text mining for protein function prediction
por: Jaeger, Samira, et al.
Publicado: (2008) -
Recent trends in autism spectrum disorder research using text mining of PubMed: importance of early detection
por: Kim, Seung Soo
Publicado: (2020) -
Text Mining for Protein Docking
por: Badal, Varsha D., et al.
Publicado: (2015)