Constraint-based modelling predicts metabolic signatures of low and high-grade serous ovarian cancer - Meeson, Kate E.; Schwartz, Jean-Marc (NPJ systems biology and applications, 2024)
Keywords: 631/114; 631/553/2695; 631/67; Bioinformatics; Biomedical and Life Sciences; Cell Line, Tumor; Chemoresistance; Chemotherapy; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; CRISPR; Disease resistance; Female; Genomes; Genomic analysis; Growth rate; Humans; Life Sciences; Literature reviews; Metabolic flux; Metabolic Networks and Pathways - genetics; Metabolism; Models, Biological; Ovarian cancer; Ovarian Neoplasms - genetics; Ovarian Neoplasms - metabolism; Pentose phosphate pathway; Phenotypes; Systems Biology; Transcriptomics; Tumor cell lines