kofamscan

kofamscan assigns KEGG Orthology (KO) terms to protein sequences by performing homology searches with profile hidden Markov models (HMMs) against the KOfam database using pre-computed adaptive score thresholds to support gene function annotation and linkage to KEGG pathway and molecular network resources.

Key Features:

• Speed and Accuracy: Kofamscan performs rapid KO assignments with accuracy comparable to top-performing alternatives.
• Profile HMM-based KO assignment: It assigns KOs to protein sequences using profile hidden Markov models (HMMs) for homology detection.
• Adaptive score thresholds: It uses pre-computed adaptive score thresholds in the KOfam database to balance sensitivity and specificity.
• KEGG integration: KO assignments enable linkage of genes to KEGG pathway maps and molecular networks for downstream functional analyses.

Scientific Applications:

• Functional genomics: Enables genome-scale annotation of gene functions via KO mapping.
• Molecular network reconstruction: Supports reconstruction of metabolic and signaling networks by mapping genes to KEGG pathways and molecular networks.
• Comparative genomics: Facilitates cross-genome comparison of orthologous functions using KO assignments.
• Metabolic engineering: Assists metabolic pathway identification and engineering through KO-based enzyme annotations.
• Systems biology: Provides functional inputs for systems-level models by assigning pathway-relevant KOs.

Methodology:

Kofamscan performs homology searches of protein sequences against the KOfam profile HMM database and applies the database's pre-computed adaptive score thresholds to assign KO terms.