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