Bio2Rxn

Bio2Rxn predicts putative enzymatic reactions for uncharacterized protein sequences by applying a consensus strategy that integrates six distinct enzyme prediction tools to support characterization of protein functions within metabolic pathways.

Key Features:

• Consensus integration: Integrates six distinct enzyme prediction tools to produce consensus enzymatic reaction predictions.
• Putative reaction prediction: Generates putative enzymatic reactions for uncharacterized protein sequences.
• Curated reaction database linkage: Links predictions to a database of over 300,000 manually curated enzymatic reactions compiled from more than 580,000 publications by over 100 curators across nine years.
• Evidence synthesis: Synthesizes multiple lines of computational evidence to enhance predictive reliability and comprehensiveness.
• Metabolic context interpretation: Facilitates interpretation of predicted enzyme functions within metabolic pathways and networks.

Scientific Applications:

• Protein function annotation: Assists annotation of novel or uncharacterized proteins generated by advanced sequencing technologies.
• Enzymology: Supports characterization and hypothesis generation for enzyme activities and specific reactions.
• Systems biology: Aids incorporation of predicted enzymatic reactions into metabolic network analyses.
• Metabolic engineering: Informs pathway design and enzyme selection by providing candidate enzymatic reactions.

Methodology:

Consensus integration of six enzyme prediction tools to synthesize multiple lines of evidence for enzymatic reaction prediction, with linkage of predictions to a manually curated database of over 300,000 enzymatic reactions compiled from more than 580,000 publications by over 100 curators across nine years.