TBI

TBI predicts ion effects on RNA structures, including multivalent ions such as Mg²⁺, by quantifying electrostatic free energy, ion binding fractions and modes, and ion correlation and fluctuation effects to inform RNA folding and stability.


Key Features:

  • Electrostatic Free Energy Prediction: Calculates total electrostatic free energy of ion binding for RNA structures provided in PDB format and decomposes it into component contributions.
  • Ion Binding Modes and Fractions: Predicts average ion binding fractions and identifies the most probable ion binding modes on the RNA surface.
  • Accounting for Ion Correlation Effects: Explicitly incorporates ion correlation effects that arise for multivalent ions near the RNA surface.
  • Ion Distribution Fluctuation Analysis: Accounts for fluctuations in ion distribution to capture variability in ion-mediated electrostatic interactions.

Scientific Applications:

  • RNA Folding Stability: Analyzes ion-dependent changes in electrostatic free energy to assess RNA tertiary structure stability under varying ionic conditions.
  • Ion Uptake During Folding: Provides insights into ion uptake and incorporation during RNA folding processes.
  • Energetic Component Interplay: Enables exploration of interactions among different energetic components governing RNA folding.

Methodology:

Implements a tightly bound ion model that integrates ion correlation and fluctuation effects to represent the electrostatic environment of RNA in salt solutions with specified ion concentrations.

Topics

Details

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

Operations

Publications

Zhu Y, He Z, Chen S. TBI Server: A Web Server for Predicting Ion Effects in RNA Folding. PLOS ONE. 2015;10(3):e0119705. doi:10.1371/journal.pone.0119705. PMID:25798933. PMCID:PMC4370743.

Documentation

Links