REGLIV

REGLIV: Database of Experimentally Validated Molecular Regulations in Living Systems

REGLIV curates experimentally validated causative molecular regulatory relationships in living systems, integrating gene–metabolite and metabolite–protein interactions with defined regulatory direction.

Key Features:

• Comprehensive Molecular Regulation Data: Contains 2996 molecular regulations, including changes in 1109 metabolites triggered by alterations in 284 genes or proteins, and 1179 regulations describing variations in 926 proteins induced by 125 endogenous metabolites.
• In Vivo and Cell Line Validation: Restricts entries to regulations validated in living systems, including cell lines and in vivo models.
• Defined Regulatory Direction: Specifies directional, causative relationships among genes, proteins, and metabolites.
• Disease, Tissue, and Species Annotation: Annotates each regulation with associated disease context, tissue type, and species.

Scientific Applications:

• Pathway Analysis: Analyzes effects of gene or protein alterations on metabolic pathways in living organisms.
• Disease Mechanism Elucidation: Investigates molecular mechanisms using disease-specific regulatory data.
• Drug Target Identification: Identifies candidate therapeutic targets based on validated gene–protein–metabolite interactions.
• Comparative Regulatory Analysis: Compares species-specific molecular regulations to study evolutionary and functional differences.

Methodology:

Compiles molecular regulatory relationships validated in vivo and in cell lines, prioritizing experimentally demonstrated causative interactions over correlational or in vitro data, and records directionality and biological context for each entry.