LimTox

LimTox performs literature mining to retrieve and annotate relationships among genes, proteins, chemical compounds, and drugs, with emphasis on adverse hepatobiliary reactions and other organ-level toxicities such as nephrotoxicity, cardiotoxicity, thyrotoxicity, and phospholipidosis.

Key Features:

• Specialized Focus: Targets identification and analysis of adverse hepatobiliary reactions and supports searches related to nephrotoxicity, cardiotoxicity, thyrotoxicity, and phospholipidosis.
• Comprehensive Search Capabilities: Supports queries on chemical compounds/drugs, genes (including P450 cytochromes-CYPs), proteins, and biochemical liver markers.
• Advanced Text Mining Techniques: Integrates machine learning, rule-based approaches, pattern recognition, and term lookup to process scientific abstracts, full-text articles, and medical agency assessment reports.

Scientific Applications:

• Drug Safety and Toxicity Assessment: Enables systematic retrieval of evidence on adverse drug reactions to support risk assessment processes for chemical compounds and drugs.
• Identification of Hepatotoxic Agents: Facilitates identification of potential hepatotoxic agents and associated biochemical liver markers linked to adverse hepatobiliary reactions.
• Pharmacogenomics and Gene–Drug Interaction Analysis: Extracts information on gene–drug interactions, including genes involved in drug metabolism such as P450 cytochromes-CYPs, to inform pharmacogenomics and personalized medicine approaches.

Methodology:

Applies machine learning, rule-based methods, pattern recognition, and term lookup for text mining of scientific abstracts, full-text articles, and medical agency assessment reports.