ZEAL

ZEAL performs protein structure alignment by evaluating global and local surface shape similarity using 3D Zernike-Canterakis functions to enable comparison of protein function, binding sites, and evolutionary relationships.


Key Features:

  • Shape-Based Superposition: ZEAL utilizes 3D Zernike-Canterakis functions to represent molecular surfaces and performs global and local alignments based on shape resemblance rather than Cartesian atomic coordinates.
  • Surface Shape Emphasis: By focusing on surface geometry, ZEAL aligns proteins with similar surface shapes even when their overall fold structures differ substantially.
  • Performance and Benchmarking: In benchmarks on proteins with identical folds, ZEAL outperformed other shape-based superposition methods and produced alignments comparable in quality to coordinate-based tools such as TM-align.
  • Handling Divergent Proteins: ZEAL aligns proteins that exhibit limited sequence and backbone-fold similarity, facilitating identification of convergent evolution and detailed comparison of surface features and binding sites.
  • Functional Insights: ZEAL correlates global surface shape similarity with protein function and identifies functional categories with elevated shape similarity, notably DNA-binding proteins.

Scientific Applications:

  • Comparative Structural Analysis: Enables detailed comparison of highly divergent proteins to infer evolutionary relationships and functional convergence.
  • Binding Site Investigation: Superimposes proteins by surface shape to facilitate precise examination of binding sites for molecular interaction analysis and drug design.
  • Functional Prediction: Associates shape similarity with specific protein functions to support prediction of roles for uncharacterized proteins.

Methodology:

ZEAL represents protein molecular surfaces using 3D Zernike-Canterakis functions and aligns structures by comparing their Zernike-based shape descriptors.

Topics

Details

Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
MATLAB
Added:
1/3/2022
Last Updated:
11/24/2024

Operations

Publications

Ljung F, André I. ZEAL: protein structure alignment based on shape similarity. Bioinformatics. 2021;37(18):2874-2881. doi:10.1093/bioinformatics/btab205. PMID:33772587. PMCID:PMC10262298.

PMID: 33772587
Funding: - European Union’s Horizon 2020 research and innovation programme: 771820

Links

Repository
https://github.com/Andre-lab/ZEAL_web
(Repository for the web version of ZEAL.)
Issue tracker
https://github.com/Andre-lab/ZEAL_web/issues
(Issue tracker for the web version of ZEAL.)
Repository
https://github.com/Andre-lab/ZEAL_commandLine
(Repository for the command-line version of ZEAL.)
Issue tracker
https://github.com/Andre-lab/ZEAL_commandLine/issues
(Issue tracker for the command-line version of ZEAL.)