VfoldMCPX

VfoldMCPX predicts the two-dimensional (2D) structures and folding stabilities of multistrand RNA complexes, including pseudoknotted architectures, to analyze their thermodynamic properties.

Key Features:

• Multistrand RNA complex prediction: Predicts 2D structures of multistrand RNA complexes, including assemblies that contain intricate pseudoknot formations.
• Pseudoknot handling: Accurately predicts and handles pseudoknotted structures within RNA complexes despite their non-nested topology.
• Partition function-based algorithm: Employs a partition function-based algorithm that integrates physical loop free energy parameters to predict native structures and assess folding stability.
• Enhanced accuracy for complex structures: Demonstrates improved accuracy for predicting structures of multistranded RNA complexes, particularly those with three or more strands and/or containing pseudoknots.

Scientific Applications:

• Understanding RNA functionality: Predicts 2D structures of multistrand RNA complexes to aid elucidation of their functional roles in biological processes.
• Rational design of RNA nanostructures: Informs design and synthesis of RNA nanostructures by providing structural predictions relevant to stability and functionality considerations.
• Research on pseudoknotted RNAs: Serves studies of pseudoknotted RNAs that are involved in processes such as viral replication and ribosomal activity.

Methodology:

VfoldMCPX leverages a partition function-based algorithm that incorporates physical loop free energy parameters to predict both the native structure and folding stability of RNA complexes.