PPIP

PPIP integrates peptidomics and RNA-Seq data to identify endogenous peptides and construct transcript-derived protein reference databases for peptide identification and functional analysis.

Key Features:

• Integration of Peptidomics and RNA-Seq Data: Combines peptidomic and RNA-Seq data, utilizing proteomic and transcriptomic datasets to enhance identification of endogenous peptides.
• Automated De Novo Transcript Assembly: Performs automated de novo transcript assembly from RNA-Seq data to generate transcripts for downstream analysis.
• Construction of Protein Reference Database: Builds a tailored protein reference database from assembled transcripts to support peptide identification.
• Peptide Identification and Function Analysis: Identifies peptides and performs functional analyses to infer potential biological roles and activities.
• HTML-Based Report Generation: Generates analysis reports in HTML format.
• Docker Integration: Integrates components using Docker to provide a reproducible computational environment.

Scientific Applications:

• Peptidogenomics: Supports peptidogenomics research by linking peptides to transcript-derived protein sequences.
• Signaling Pathways: Investigates peptide-related signaling pathways.
• Immune Responses: Explores roles of peptides in immune responses.
• Cellular Communication: Examines peptide-mediated cellular communication.
• Bioactive Peptide Discovery: Aids discovery and characterization of bioactive peptides.
• Drug Discovery: Supports peptide-centric drug discovery workflows.
• Biomarker Identification: Facilitates identification of peptide biomarkers.
• Disease Pathogenesis Studies: Assists studies of disease pathogenesis involving endogenous peptides.

Methodology:

Automates RNA-Seq data processing for de novo transcript assembly, constructs a protein database from assembled transcripts, identifies peptides using LC-MS/MS data, and integrates peptide identifications with functional analyses; Docker coordinates components.