BioJava-ModFinder

BioJava-ModFinder identifies and annotates protein modifications in three-dimensional structures from the Protein Data Bank (PDB) to support structural analysis of modified residues, attachment modifications, and cross-links.


Key Features:

  • Curated modification dataset: Contains over 400 types of protein modifications compiled from PDB, RESID, and PSI-MOD.
  • Categorization of modifications: Classifies modifications into modified residues, attachment modifications, and cross-links.
  • PDB-wide scanning: Scans all archived 3D structures in the PDB and has identified over 30,000 structures containing protein modifications.
  • Detection and annotation algorithms: Implements algorithms that detect and annotate modification instances within PDB entries.
  • Integration with RCSB PDB: Programmatic integration augments sequence diagrams and structure annotations within the RCSB PDB ecosystem.

Scientific Applications:

  • Explore protein functionality: Maps protein modifications onto 3D structures to support analysis of their roles in protein behavior and interactions.
  • Facilitate drug discovery: Identifies modification sites on proteins that can inform target selection and structure-based drug design.
  • Advance structural annotation: Produces detailed modification annotations that enhance structural databases and downstream computational analyses.

Methodology:

Collects and curates modification data from PDB, RESID, and PSI-MOD. Categorizes modifications into predefined groups (modified residues, attachment modifications, cross-links). Implements algorithms that scan PDB entries to detect and annotate these modifications.

Topics

Details

License:
LGPL-2.1
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
6/5/2018
Last Updated:
12/10/2018

Operations

Publications

Gao J, Prlić A, Bi C, Bluhm WF, Dimitropoulos D, Xu D, Bourne PE, Rose PW. BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank. Bioinformatics. 2017;33(13):2047-2049. doi:10.1093/bioinformatics/btx101. PMID:28334105. PMCID:PMC5870676.

Funding: - National Institutes of Health: R01-GM100701, R33-GM078601 - National Science Foundation: NSF DBI DBI-1338415, NSF DBI-0829586