botXminer

botXminer provides access to a curated subset of MEDLINE XML citations related to botulinum and tetanus neurotoxins to support literature-based research.

Key Features:

• MEDLINE XML corpus: Indexes a subset of complete MEDLINE XML files containing the terms "botulinum" or "tetanus" stored in an Oracle XML DB.
• Field-specific search: Supports searches across MEDLINE fields including title, abstract, journal, MeSH terms (qualifiers and descriptors), keywords, author names, gene symbols, and chemical data.
• Quantitative query results: Generates quantitative summaries for specific queries against the indexed corpus.
• Relational integration: Integrates literature citations within a relational system framework to merge literature data with structured databases.
• Tabulated and graphical outputs: Organizes retrieved citations into tabulated or graphical result sets for downstream analysis.
• Semistructured data management: Employs AceDB capabilities for handling semistructured datasets and supports information retrieval query languages.

Scientific Applications:

• Neurotoxin structure–function studies: Supports retrieval of literature on the structure and function of botulinum (BoNT) and tetanus neurotoxins.
• Genetic and protein sequence retrieval: Facilitates storage and retrieval of amino acid and nucleic acid sequences related to clostridial neurotoxin genes and proteins.
• Mutants and vaccine research: Aggregates literature on neurotoxin mutants, mutant substrates, associated nontoxic proteins, and C-fragment vaccine candidates.
• Detection and structural characterization: Provides access to references on detection assays and structural studies using X-ray crystallography and circular dichroism spectroscopy.
• Biochemical kinetics and inhibition: Supports retrieval of kinetic parameters such as reaction rates for substrate cleavage and neurotransmission blockage and literature on chemical inhibitors.

Methodology:

Indexes a subset of MEDLINE XML files stored in Oracle XML DB, leverages AceDB for semistructured data management and information retrieval query languages, and integrates citations within a relational system framework.