A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data.
In silico prediction of drug-target interactions from heterogeneous biological data can advance our system-level search for drug molecules and therapeutic targets, which efforts have not yet reached full fruition. In this work, we report a systematic approach that efficiently integrates the chemical...
Guardado en:
Autores principales: | Hua Yu, Jianxin Chen, Xue Xu, Yan Li, Huihui Zhao, Yupeng Fang, Xiuxiu Li, Wei Zhou, Wei Wang, Yonghua Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ea40cb89e25b401ab9039e278c05af95 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Prediction of cancer drugs by chemical-chemical interactions.
por: Jing Lu, et al.
Publicado: (2014) -
Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
por: Lei Chen, et al.
Publicado: (2014) -
Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities.
por: Lei Chen, et al.
Publicado: (2012) -
Lamiophlomis herba: A comprehensive overview of its chemical constituents, pharmacology, clinical applications, and quality control
por: Yu Li, et al.
Publicado: (2021) -
Drug-peptide supramolecular hydrogel boosting transcorneal permeability and pharmacological activity via ligand-receptor interaction
por: Lin Chen, et al.
Publicado: (2022)