IDOPS

IDOPS identifies pesticidal protein sequences and analyzes their genetic context using profile Hidden Markov Models (HMMs) to discover and characterize biopesticidal proteins, including those beyond Bacillus thuringiensis, for biopesticide discovery and analysis.

Key Features:

• Detection of Pesticidal Sequences: Uses a curated collection of high-quality profile HMMs aligned with the Bacterial Pesticidal Protein Resource Center (BPPRC) nomenclature to identify novel biopesticidal sequences across structural classes.
• Benchmarking and Validation: Has been benchmarked against existing tools BtToxin_Digger and Cry_Processor to evaluate identification performance.
• Exploration of Genetic Context: Includes a comparative genomics module to examine genetic regions surrounding identified pesticidal genes, revealing accessory elements and evolutionary traits that influence toxin expression and diversification.
• Database Integration: Applies IDOPS HMM models to scan UniProtKB and identify abundant new pesticidal protein candidates distributed across different structural groups.

Scientific Applications:

• Insect Resistance Management: Supports identification of alternative pesticidal proteins to address insect resistance in biopesticide-based crop protection.
• Biopesticide Repertoire Expansion: Enables discovery of novel biopesticidal candidates beyond Bacillus thuringiensis to expand available crop protection agents for sustainable agriculture.
• Gene Expression and Functional Analysis: Facilitates analysis of genetic contexts to derive insights into gene expression mechanisms and functional diversification of pesticidal proteins.

Methodology:

Employs curated profile HMMs (aligned with BPPRC nomenclature) for sequence detection, a comparative genomics module to investigate flanking genetic regions, comprehensive scanning of UniProtKB with IDOPS models, and benchmarking against BtToxin_Digger and Cry_Processor.