Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite
accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite …

The computational metabolomics field brings together computer scientists, bioinformaticians,
chemists, clinicians, and biologists to maximize the impact of metabolomics across a wide …

Metabologenomics integrates metabolomics with other omics data types to comprehensively
study the genetic and environmental factors that influence metabolism. These multi-omics …

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Data are the most important elements of bioinformatics: Computational analysis of
bioinformatics data, in fact, can help researchers infer new knowledge about biology …

The Warburg effect is the long-standing riddle of cancer biology. How does aerobic
glycolysis, inefficient in producing ATP, confer a growth advantage to cancer cells? A new …

Over the past two decades, extensive studies, particularly in cancer analysis through large
datasets like The Cancer Genome Atlas (TCGA), have aimed at improving patient therapies …

Metabolic activities of the microbial population are important to maintain the balance of
almost all the ecosystems on earth. In the human gut environment, these microbial …

Tumours are heterogeneous tissues containing diverse populations of cells and an
abundant extracellular matrix (ECM). This tumour microenvironment prompts cancer cells to …

Genome-scale metabolic models (GEMs) are effective tools for metabolic engineering and
have been widely used to guide cell metabolic regulation. However, the single gene–protein …