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Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding
The 534 protein kinases encoded in the human genome constitute a large druggable class of proteins that include both well-studied and understudied “dark” members. Accurate prediction of dark kinase functions is a major bioinformatics challenge. Here, we employ a graph mining approach that uses the e...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590106/ https://www.ncbi.nlm.nih.gov/pubmed/37868056 http://dx.doi.org/10.7717/peerj.15815 |