Cargando…
Expression-Based In Silico Screening of Candidate Therapeutic Compounds for Lung Adenocarcinoma
BACKGROUND: Lung adenocarcinom (AC) is the most common form of lung cancer. Currently, the number of medical options to deal with lung cancer is very limited. In this study, we aimed to investigate potential therapeutic compounds for lung adenocarcinoma based on integrative analysis. METHODOLOGY/PRI...
Autores principales: | Wang, Guiping, Ye, Yun, Yang, Xiaoqin, Liao, Hongying, Zhao, Canguo, Liang, Shuang |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024967/ https://www.ncbi.nlm.nih.gov/pubmed/21283735 http://dx.doi.org/10.1371/journal.pone.0014573 |
Ejemplares similares
-
Expression Profiling Identifies Bezafibrate as Potential Therapeutic Drug for Lung Adenocarcinoma
por: Liu, Xinyan, et al.
Publicado: (2015) -
Upregulated expression of pyruvate kinase M2 mRNA predicts poor prognosis in lung adenocarcinoma
por: Wang, Guiping, et al.
Publicado: (2020) -
In Silico Screening of Natural Compounds for Candidates 5HT6 Receptor Antagonists against Alzheimer’s Disease
por: Bojić, Tijana, et al.
Publicado: (2022) -
Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma
por: Hu, Weilei, et al.
Publicado: (2020) -
In Silico screening for functional candidates amongst hypothetical proteins
por: Desler, Claus, et al.
Publicado: (2009)