AdditiveChem
AdditiveChem curates and integrates molecular, chemical, and toxicological data for 9,064 food additives to support in silico evaluation of their ADME, toxicity, biosynthesis, and biodegradation properties.
Key Features:
- Extensive curation: Curated entries for over 9,064 food additives with molecular structures and chemical and physical properties.
- Multifaceted data integration: Integrates data from 16 sources including absorption, distribution, metabolism, excretion (ADME) profiles, toxicity evaluations, biosynthesis pathways, biodegradation methods, usage specifications, and toxicological risk assessments.
- Advanced search capabilities: Supports text queries, molecular-structure, fragment, similarity, and Maximum Common Substructure (MCS) searches across fields such as CAS number, JECFA number, FEMA number, CoE number, name, InChI, InChI key, and INS.
- In silico evaluation platform: Enables exploration of structure–function relationships to assess how molecular configurations influence biological activity and potential health impacts.
Scientific Applications:
- Toxicological research: Provides detailed toxicological data for assessment of additive safety profiles.
- Regulatory compliance: Supplies risk assessment and usage specification data to support regulatory evaluation and compliance.
- Pharmacokinetic studies: Provides ADME property data to support studies of additive behavior in biological systems.
- Structural biology and chemistry: Facilitates investigation of molecular interactions between food additives and human targets.
Methodology:
AdditiveChem extracts, validates, and integrates data from multiple authoritative databases through a rigorous curation process.
Topics
Details
- Added:
- 1/9/2020
- Last Updated:
- 12/1/2020
Operations
Publications
Zhang D, Cheng X, Sun D, Ding S, Cai P, Yuan L, Tian Y, Tu W, Hu Q. AdditiveChem: A comprehensive bioinformatics knowledge-base for food additive chemicals. Food Chemistry. 2020;308:125519. doi:10.1016/j.foodchem.2019.125519. PMID:31648087.
PMID: 31648087