dbAMP

dbAMP provides a curated and computational resource for identification, annotation, and structural prediction of antimicrobial peptides (AMPs) to support antimicrobial research and drug development.

Key Features:

• Extensive Database: Contains 26,447 AMPs and 2,262 antimicrobial proteins from 3,044 organisms compiled via database integration and manual curation of over 4,579 scientific articles.
• Enhanced Scanning Methodology: Implements an improved scanning method to identify AMPs within genomic, metagenomic, and proteomic datasets across species.
• Structure Prediction and Annotation: Leverages I-TASSER for automated protein structure prediction and structure-based functional annotation.
• Integration with Sequencing Technologies: Utilizes next-generation sequencing (NGS) and third-generation sequencing technologies to analyze large-scale sequencing reads from diverse environments to inform genome structure and AMP identification.

Scientific Applications:

• Antimicrobial Research: Provides comprehensive AMP sequence and annotation data to support discovery and characterization of antimicrobial agents.
• Drug Development: Supplies predicted structural models and annotations to aid selection and evaluation of peptide candidates for therapeutic development.
• Genomic Analysis: Enables detection and analysis of AMPs in genomic, metagenomic, and proteomic datasets to study microbial diversity and function.

Methodology:

Database integration and manual curation of literature, an improved AMP scanning method applied to genomic/metagenomic/proteomic datasets, automated structure prediction and structure-based annotation using I-TASSER, and analysis of large-scale sequencing reads from NGS and third-generation sequencing technologies.