AppA

AppA analyzes antibody–antigen (Ab–Ag) interfaces to identify contact residues, interfacial waters, and interaction types from PDB structures to support structural interpretation and antibody engineering.


Key Features:

  • 3D Structural Analysis: Analyzes three-dimensional structures of contact residues and interfacial waters within antibody–antigen complexes.
  • Dissection of Interaction Contributions: Quantifies contributions of interfacial water molecules, hydrogen bonds, hydrophobic interactions, van der Waals forces, and ionic interactions at the Ab–Ag interface.
  • Comparative Analysis: Compares different Ab–Ag structures and contact-residue conformations to identify structural variations that may influence binding.
  • Mutation Suggestion: Suggests potential mutations in contact residues predicted to improve antibody affinity.

Scientific Applications:

  • Understanding Ab–Ag Interactions: Provides detailed interaction profiles to inform mechanisms of antibody recognition and binding.
  • Antibody Design and Engineering: Identifies key interface residues and interaction types to guide rational modification of antibodies for improved binding.
  • Educational Use: Serves as a resource for studying structural principles of antibody–antigen interfaces.

Methodology:

Processes input PDB files and applies computational algorithms to analyze and visualize Ab–Ag interfaces, dissecting contributions of interfacial waters, hydrogen bonds, hydrophobic interactions, van der Waals forces, and ionic interactions.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Nguyen MN, Verma CS, Zhong P. AppA: a web server for analysis, comparison, and visualization of contact residues and interfacial waters of antibody–antigen structures and models. Nucleic Acids Research. 2019;47(W1):W482-W489. doi:10.1093/nar/gkz358. PMID:31069385. PMCID:PMC6602511.

PMID: 31069385
PMCID: PMC6602511
Funding: - National Research Foundation: NRF2013-THE001-070 - Industry Alignment Fund: H18/01/a0/B14, IAF311017G

Documentation