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...

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Detalles Bibliográficos
Autores principales: Thafar, Maha A., Olayan, Rawan S., Ashoor, Haitham, Albaradei, Somayah, Bajic, Vladimir B., Gao, Xin, Gojobori, Takashi, Essack, Magbubah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research Article
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

Internet

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

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