MCTBI

MCTBI predicts metal ion effects on RNA structures by incorporating ion correlation and fluctuation effects to improve predictions of ion binding distributions and electrostatic free energies.


Key Features:

  • Ion correlation and fluctuation effects: Accounts explicitly for ion correlation and fluctuation effects to enhance accuracy over traditional mean-field approaches.
  • Multivalent ion predictions: Predicts effects of multivalent ions such as Mg2+ on RNA structure formation and stability.
  • Comprehensive output metrics: Reports metal ion binding fractions, most probable bound ion distributions, electrostatic free energy of the system, and its components.

Scientific Applications:

  • RNA biochemistry and structural biology: Provides quantitative predictions of how metal ions modulate RNA structure and interactions.
  • Mechanistic studies of folding and stability: Offers mechanistic insight into the influence of metal ions on RNA folding pathways and thermodynamic stability.
  • Rational design of RNA structures: Informs design efforts in drug development, synthetic biology, and genetic engineering by predicting ion-dependent structural effects.

Methodology:

MCTBI implements a theoretical model that integrates ion correlation and fluctuation effects into predictions and has been validated through theory–experiment comparisons.

Topics

Details

Tool Type:
web application
Added:
5/19/2018
Last Updated:
12/10/2018

Operations

Publications

Sun L, Zhang J, Chen S. MCTBI: a web server for predicting metal ion effects in RNA structures. RNA. 2017;23(8):1155-1165. doi:10.1261/rna.060947.117. PMID:28450533. PMCID:PMC5513060.

PMID: 28450533
PMCID: PMC5513060
Funding: - National Institutes of Health: GM117059, R01-GM063732

Documentation