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DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
In silico prediction of drug–target interactions is a critical phase in the sustainable drug development process, especially when the research focus is to capitalize on the repositioning of existing drugs. However, developing such computational methods is not an easy task, but is much needed, as cur...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325230/ https://www.ncbi.nlm.nih.gov/pubmed/33431036 http://dx.doi.org/10.1186/s13321-020-00447-2 |