STAP

STAP refines NMR solution structures using statistical torsion angle potentials (STAP) within a simulated annealing protocol to improve the quality and structural-analysis suitability of 2,405 PDB-derived NMR entries.


Key Features:

  • Database Content: The public database contains 2,405 refined NMR structures sourced from the Protein Data Bank (PDB).
  • Refinement Protocol: A simulated annealing protocol integrates statistical torsion angle potentials (STAP) and newly developed knowledge-based potentials during refinement.
  • Quality Indicators: Structures were evaluated using nuclear Overhauser effect (NOE) completeness, Ramachandran plot appearance, χ(1)-χ(2) rotamer normality, and protein stability–related parameters.
  • Quality Improvement: Inclusion of STAP produced significant improvements across most assessed quality metrics, increasing reliability for structural analysis.

Scientific Applications:

  • NMR structure curation: Provides higher-quality NMR ensembles for downstream structural analysis and comparative studies.
  • Validation and benchmarking: Supports development and benchmarking of validation tools and scoring functions for NMR structures.
  • Structural modeling and interpretation: Enables improved modeling, interpretation, and comparison of NMR-derived structures with high-resolution X-ray data.
  • Methodological research: Facilitates studies addressing limitations of NMR-derived structures and testing refinement strategies.

Methodology:

The refinement process uses a simulated annealing protocol that integrates statistical torsion angle potentials (STAP) as knowledge-based potentials to target improved structural potentials.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/30/2017
Last Updated:
11/25/2024

Operations

Publications

Yang JS, Kim J, Oh S, Han G, Lee S, Lee J. STAP Refinement of the NMR database: a database of 2405 refined solution NMR structures. Nucleic Acids Research. 2011;40(D1):D525-D530. doi:10.1093/nar/gkr1021. PMID:22102572. PMCID:PMC3245188.

Documentation