Cargando…
Exploring chemical space for lead identification by propagating on chemical similarity network
MOTIVATION: Lead identification is a fundamental step to prioritize candidate compounds for downstream drug discovery process. Machine learning (ML) and deep learning (DL) approaches are widely used to identify lead compounds using both chemical property and experimental information. However, ML or...
Autores principales: | Yi, Jungseob, Lee, Sangseon, Lim, Sangsoo, Cho, Changyun, Piao, Yinhua, Yeo, Marie, Kim, Dongkyu, Kim, Sun, Lee, Sunho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480321/ https://www.ncbi.nlm.nih.gov/pubmed/37680266 http://dx.doi.org/10.1016/j.csbj.2023.08.016 |
Ejemplares similares
-
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
por: Lim, Sangsoo, et al.
Publicado: (2022) -
Supervised chemical graph mining improves drug-induced liver injury prediction
por: Lim, Sangsoo, et al.
Publicado: (2022) -
Construction of Condition-Specific Gene Regulatory Network Using Kernel Canonical Correlation Analysis
por: Jeong, Dabin, et al.
Publicado: (2021) -
SpliceHetero: An information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq
por: Kim, Minsu, et al.
Publicado: (2019) -
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
por: Bang, Dongmin, et al.
Publicado: (2023)