SPACER
SPACER analyzes allosteric communication in proteins to quantify how ligand binding influences intrinsic protein dynamics from a thermodynamic perspective.
Key Features:
- Thermodynamic allostery measures: Computes measures grounded in the thermodynamic perspective of allostery to quantify ligand-induced changes in intrinsic protein dynamics.
- Allosteric site identification: Identifies potential allosteric and effector binding sites and characterizes interactions between regulatory and functional sites.
- Input requirement: Operates from a single protein structure provided as input.
- Protein scope: Accommodates a wide range of protein sizes, oligomerization states, and functional diversity.
Scientific Applications:
- Drug discovery: Identifies potential effector binding sites to support selection of targets for allosteric drug development.
- Protein dynamics analysis: Analyzes changes in protein dynamics upon ligand binding to elucidate functional mechanisms.
Methodology:
Applies theoretical concepts emphasizing the thermodynamic perspective of allostery to analyze how ligand interactions affect protein behavior and identify allosteric sites.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java, C++, C
- Added:
- 3/25/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Goncearenco A, Mitternacht S, Yong T, Eisenhaber B, Eisenhaber F, Berezovsky IN. SPACER: server for predicting allosteric communication and effects of regulation. Nucleic Acids Research. 2013;41(W1):W266-W272. doi:10.1093/nar/gkt460. PMID:23737445. PMCID:PMC3692057.
Documentation
User manual
http://allostery.bii.a-star.edu.sg/tutorial/