Cargando…
MDTips: a multimodal-data-based drug–target interaction prediction system fusing knowledge, gene expression profile, and structural data
MOTIVATION: Screening new drug–target interactions (DTIs) by traditional experimental methods is costly and time-consuming. Recent advances in knowledge graphs, chemical linear notations, and genomic data enable researchers to develop computational-based-DTI models, which play a pivotal role in drug...
Autores principales: | Xia, Xiaoqiong, Zhu, Chaoyu, Zhong, Fan, Liu, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329491/ https://www.ncbi.nlm.nih.gov/pubmed/37379157 http://dx.doi.org/10.1093/bioinformatics/btad411 |
Ejemplares similares
-
Multimodal reasoning based on knowledge graph embedding for specific diseases
por: Zhu, Chaoyu, et al.
Publicado: (2022) -
GLUE multimodal single cell data
por: Li, Weizhong, et al.
Publicado: (2023) -
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
por: Khojasteh, Hakimeh, et al.
Publicado: (2023) -
Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors
por: Mouches, Pauline, et al.
Publicado: (2022) -
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds
por: Hoelzl, Cyprien, et al.
Publicado: (2023)