PathPred
PathPred predicts multi-step enzymatic reaction pathways from a query compound using RDM patterns and chemical structure alignments to elucidate microbial biodegradation and plant secondary metabolite biosynthesis.
Key Features:
- KEGG RPAIR / RDM patterns: Uses the KEGG RPAIR database containing RDM (Reaction Description Model) patterns and chemical structure alignments of substrate–product pairs documented in Enzyme Nomenclature and KEGG PATHWAY.
- Local RDM pattern matching: Identifies characteristic local RDM pattern matches between the query compound and reactant pairs.
- Global chemical structure alignment: Performs global chemical structure alignments of substrate–product pairs against a library of reactant pairs.
- Reactant-pair libraries: Employs a library composed of 947 reactant pairs associated with biodegradation and 1397 reactant pairs linked to biosynthesis.
- Multi-step pathway generation: Predicts transformed compounds at each reaction step and assembles plausible multi-step pathways from matched transformations.
- Reference transformation patterns: Provides reference transformation patterns that explain the structural changes for each predicted reaction.
- Output representation: Outputs predicted multi-step reaction pathways as a tree-shaped graph representing alternative transformation routes.
- Biological focus: Emphasizes microbial biodegradation of environmental compounds and biosynthesis of plant secondary metabolites.
Scientific Applications:
- Biodegradation pathway prediction: Predicts plausible enzymatic pathways for microbial degradation of environmental compounds.
- Secondary metabolite biosynthesis: Predicts biosynthetic pathways for plant secondary metabolites.
- Elucidation of enzymatic transformations: Provides transformation patterns and stepwise compound predictions to clarify enzyme-catalyzed reaction mechanisms documented in Enzyme Nomenclature and KEGG PATHWAY.
Methodology:
Matches local RDM patterns and performs global chemical structure alignments against the KEGG RPAIR reactant-pair library (947 biodegradation pairs, 1397 biosynthesis pairs) derived from Enzyme Nomenclature and KEGG PATHWAY, analyzes RDM patterns to generate transformed compounds and reference transformation patterns, and outputs predicted multi-step pathways as a tree-shaped graph.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/25/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Metabolic network modelling
Publications
Moriya Y, Shigemizu D, Hattori M, Tokimatsu T, Kotera M, Goto S, Kanehisa M. PathPred: an enzyme-catalyzed metabolic pathway prediction server. Nucleic Acids Research. 2010;38(Web Server):W138-W143. doi:10.1093/nar/gkq318. PMID:20435670. PMCID:PMC2896155.