Cargando…
Prediction of Synergistic Antibiotic Combinations by Graph Learning
Antibiotic resistance is a major public health concern. Antibiotic combinations, offering better efficacy at lower doses, are a useful way to handle this problem. However, it is difficult for us to find effective antibiotic combinations in the vast chemical space. Herein, we propose a graph learning...
Autores principales: | Lv, Ji, Liu, Guixia, Ju, Yuan, Sun, Ying, Guo, Weiying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958015/ https://www.ncbi.nlm.nih.gov/pubmed/35350764 http://dx.doi.org/10.3389/fphar.2022.849006 |
Ejemplares similares
-
ACDB: An Antibiotic Combination DataBase
por: Lv, Ji, et al.
Publicado: (2022) -
Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures
por: Mason, Daniel J., et al.
Publicado: (2018) -
Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics
por: Li, Shiqi, et al.
Publicado: (2021) -
In vitro Antibacterial Activity of Combretum edwardsii, Combretum krausii, and Maytenus nemorosa and Their Synergistic Effects in Combination with Antibiotics
por: Chukwujekwu, Jude C., et al.
Publicado: (2016) -
A complete graph-based approach with multi-task learning for predicting synergistic drug combinations
por: Wang, Xiaowen, et al.
Publicado: (2023)