Cancer‐associated, stimuli‐driven, turn on theranostics for multimodality imaging and therapy
Advances in bioinformatics, genomics, proteomics, and metabolomics have facilitated the
development of novel anticancer agents that have decreased side effects and increased …
development of novel anticancer agents that have decreased side effects and increased …
Unnatural helical peptidic foldamers as protein segment mimics
P Sang, J Cai - Chemical Society Reviews, 2023 - pubs.rsc.org
Unnatural helical peptidic foldamers have attracted considerable attention owing to their
unique folding behaviours, diverse artificial protein binding mechanisms, and promising …
unique folding behaviours, diverse artificial protein binding mechanisms, and promising …
BRENDA, the ELIXIR core data resource in 2021: new developments and updates
The BRENDA enzyme database (https://www. brenda-enzymes. org), established in 1987,
has evolved into the main collection of functional enzyme and metabolism data. In 2018 …
has evolved into the main collection of functional enzyme and metabolism data. In 2018 …
BRENDA in 2019: a European ELIXIR core data resource
The BRENDA enzyme database (www. brenda-enzymes. org), recently appointed ELIXIR
Core Data Resource, is the main enzyme and enzyme-ligand information system. The core …
Core Data Resource, is the main enzyme and enzyme-ligand information system. The core …
Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints
Genome‐scale metabolic models (GEM s) are widely used to calculate metabolic
phenotypes. They rely on defining a set of constraints, the most common of which is that the …
phenotypes. They rely on defining a set of constraints, the most common of which is that the …
An atlas of genetic influences on human blood metabolites
Genome-wide association scans with high-throughput metabolic profiling provide
unprecedented insights into how genetic variation influences metabolism and complex …
unprecedented insights into how genetic variation influences metabolism and complex …
Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation
INTRODUCTION The generation of biological data is presenting us with one of the most
demanding analysis challenges the world has ever faced, not only in terms of storage and …
demanding analysis challenges the world has ever faced, not only in terms of storage and …
Metabolite concentrations, fluxes and free energies imply efficient enzyme usage
In metabolism, available free energy is limited and must be divided across pathway steps to
maintain a negative Δ G throughout. For each reaction, Δ G is log proportional both to a …
maintain a negative Δ G throughout. For each reaction, Δ G is log proportional both to a …
Genome-wide prediction of metabolic enzymes, pathways, and gene clusters in plants
Plant metabolism underpins many traits of ecological and agronomic importance. Plants
produce numerous compounds to cope with their environments but the biosynthetic …
produce numerous compounds to cope with their environments but the biosynthetic …
Identification of drug–target interactions via dual laplacian regularized least squares with multiple kernel fusion
Abstract Detection of Drug–Target Interactions (DTIs) is the time-consuming and laborious
experiment via biochemical approaches. Machine learning based methods have been …
experiment via biochemical approaches. Machine learning based methods have been …