Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction
associations for entire metabolic genes in an organism, and can be simulated to predict …

High-throughput technologies have revolutionized medical research. The advent of
genotyping arrays enabled large-scale genome-wide association studies and methods for …

The use of multiple omics techniques (ie, genomics, transcriptomics, proteomics, and
metabolomics) is becoming increasingly popular in all facets of life science. Omics …

Global population increases and climate change pose a challenge to worldwide crop
production. There is a need to intensify agricultural production in a sustainable manner and …

Inorganic-biological hybrid systems have potential to be sustainable, efficient, and versatile
chemical synthesis platforms by integrating the light-harvesting properties of semiconductors …

ChEBI is a database and ontology containing information about chemical entities of
biological interest. It currently includes over 46 000 entries, each of which is classified within …

For thousands of years, the yeast Saccharomyces cerevisiae (S. cerevisiae) has served as a
cell factory for the production of bread, beer, and wine. In more recent years, this yeast has …

Multiple models of human metabolism have been reconstructed, but each represents only a
subset of our knowledge. Here we describe Recon 2, a community-driven, consensus' …

Background In recent years, there has been a surge in the development and application of
single-cell genomics, transcriptomics, proteomics, and metabolomics. The metabolome is …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …