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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-10-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/15815.pdf |