PSS
PSS performs automated statistical analysis and comparison of large ensembles of protein structures to quantify structural variability and identify conformational clusters.
Key Features:
- Multiple Sequence Alignments: Performs multiple sequence alignments to identify evolutionary relationships and functional similarities among proteins.
- Structure Superpositions: Superposes protein structures to assess conformational differences and similarities across ensembles.
- Statistical Calculations: Calculates Cartesian and dihedral coordinate statistics to quantify structural variability and stability within protein ensembles.
- Cluster Analyses: Performs cluster analyses to group similar structures and identify distinct conformational states.
- HTML Report Generation: Generates HTML reports containing figures, tables, and hyperlinks that summarize analysis results.
Scientific Applications:
- Comparative structural analysis: Comparing large ensembles of protein structures to assess structural variability and conformational diversity.
- Protein dynamics characterization: Quantifying coordinate variability and identifying conformational states to study protein dynamics.
- Drug target identification: Supporting identification of potential drug targets through automated structural comparison and statistical reporting.
- Structural biology and bioinformatics research: Enabling automated, comprehensive analyses for studies in structural biology and bioinformatics.
Methodology:
Performs multiple sequence alignments, structure superpositions, calculation of Cartesian and dihedral coordinate statistics, and cluster analyses.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Gaillard T, Schwarz BBL, Chebaro Y, Stote RH, Dejaegere A. Protein Structural Statistics with PSS. Journal of Chemical Information and Modeling. 2013;53(9):2471-2482. doi:10.1021/ci400233j. PMID:23957210.
DOI: 10.1021/ci400233j
PMID: 23957210