mFASD

mFASD discriminates among different types of metal-binding sites in proteins by analyzing 3D structural data to characterize local chemical environments and functional atom sets for comparative classification.


Key Features:

  • Discrimination Capability: Differentiates between various types of metal-binding sites rather than only distinguishing metal-binding from non-metal-binding sites.
  • 3D Structure Utilization: Leverages 3D structural information to capture local chemical environments around metal-binding sites.
  • Functional Atom Set Analysis: Identifies sets of functional atoms in direct contact with bound metals and analyzes these sets for comparison.
  • Distance Measure on Atom Sets: Employs a distance measure defined on functional atom sets to facilitate precise comparisons between metal-binding site types.
  • High Sensitivity and Accuracy: Demonstrates the ability to discriminate most types of metal-binding sites from each other with high sensitivity and accuracy.
  • Integration with Existing Methods: Can be cascaded with other computational methods to improve overall accuracy of metal-binding site predictions.

Scientific Applications:

  • Structural biology: Characterizes metal-binding site architecture to inform structural interpretations of metalloproteins.
  • Bioinformatics: Enhances computational annotation and classification of metal-binding sites in protein structural datasets.
  • Protein mechanism elucidation: Provides detailed insights into local chemical environments that underlie metal-dependent protein functions.
  • Metalloprotein design: Informs engineering of metalloproteins by specifying functional atom interactions with metal ions.
  • Metal-related disease research: Aids studies that investigate how variations in metal-binding sites relate to disease mechanisms.

Methodology:

Systematic investigation of the local chemical environment using 3D structural information, identification of functional atoms in contact with metals, and application of a distance measure on these functional atom sets to categorize metal-binding site types.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

He W, Liang Z, Teng M, Niu L. mFASD: a structure-based algorithm for discriminating different types of metal-binding sites. Bioinformatics. 2015;31(12):1938-1944. doi:10.1093/bioinformatics/btv044. PMID:25649619.

Documentation

Links