Work

Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors

Year: 2021

Type: article

Source: Cell Systems

DOI: 10.1016/j.cels.2020.12.001

Authors: Joshua E. Lewis, Tom E. Forshaw, David A. Boothman, Cristina M. Furdui, Melissa L. Kemp

Institutions: Georgia Institute of Technology, Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Wake Forest University Health Sciences, Wake Forest University, Indiana University School of Medicine

Language: English

Topic: Cancer, Hypoxia, and Metabolism

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Comprehensive Cancer Center at Wake Forest Baptist Medical Center, National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences

Awards: Medical Scientist Training Program, G3204911254, G6339234083, Model-based Prediction of Redox-Modulated Responses to Cancer Treatments, Systems biology modeling of radiation resistance and chemotherapy-radiation combination therapies in head and neck squamous cell carcinoma, Cancer Center Support Grant

OpenAlex ID: W3121785319

FWCI: 4.372

Cites: 105

Cited by: 61

Related to: 10