Cargando…
Computer-Aided Design for Identifying Anticancer Targets in Genome-Scale Metabolic Models of Colon Cancer
SIMPLE SUMMARY: Discovery of anticancer targets with minimal side effects is a major challenge in drug discovery and development. This study developed a fuzzy optimization framework for identifying anticancer targets. The framework was applied to identify not only gene regulator targets but also met...
Autores principales: | Cheng, Chao-Ting, Wang, Tsun-Yu, Chen, Pei-Rong, Wu, Wu-Hsiung, Lai, Jin-Mei, Chang, Peter Mu-Hsin, Hong, Yi-Ren, Huang, Chi-Ying F., Wang, Feng-Sheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614794/ https://www.ncbi.nlm.nih.gov/pubmed/34827109 http://dx.doi.org/10.3390/biology10111115 |
Ejemplares similares
-
Identifying essential genes in genome-scale metabolic models of consensus molecular subtypes of colorectal cancer
por: Cheng, Chao-Ting, et al.
Publicado: (2023) -
AID downregulation is a novel function of the DNMT inhibitor 5-aza-deoxycytidine
por: Tsai, Chiou-Tsun, et al.
Publicado: (2013) -
Oncogene inference optimization using constraint-based modelling incorporated with protein expression in normal and tumour tissues
por: Wu, Wu-Hsiung, et al.
Publicado: (2020) -
Genome-scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma
por: Wei, Hao-Tang, et al.
Publicado: (2018) -
Anticancer Activity of Pterostilbene in Human Ovarian Cancer Cell Lines
por: Pei, Hui-lin, et al.
Publicado: (2017)