DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis

BACKGROUND: Drug-target interaction (DTI) prediction has become a crucial prerequisite in drug design and drug discovery. However, the traditional biological experiment is time-consuming and expensive, as there are abundant complex interactions present in the large size of genomic and chemical space...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Zhong-Hao, You, Zhu-Hong, Zou, Quan, Yu, Chang-Qing, Ma, Yan-Fang, Guan, Yong-Jian, You, Hai-Ru, Wang, Xin-Fei, Pan, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876420/
https://www.ncbi.nlm.nih.gov/pubmed/36698208
http://dx.doi.org/10.1186/s12967-023-03876-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876420/
https://www.ncbi.nlm.nih.gov/pubmed/36698208
http://dx.doi.org/10.1186/s12967-023-03876-3

Ejemplares similares