PhyloFold

PhyloFold integrates phylogenetic information and pairwise structural alignments to improve RNA secondary structure prediction across homologous sequences.

Key Features:

• Integration with Phylogeny: PhyloFold incorporates phylogenetic information into its prediction model to refine secondary-structure inference across related sequences.
• Pairwise Structural Alignments: The method leverages likely pairwise structural alignments alongside sequence alignment to model conserved base-pairing relationships among homologs.
• Efficiency and Accuracy: PhyloFold achieves improved prediction accuracy while maintaining a running time comparable to conventional methods.

Scientific Applications:

• Evolutionary conservation analysis: Predicts conserved RNA secondary structures across homologous sequences to support comparative studies.
• Functional inference of RNA structure: Aids elucidation of functional aspects of RNA molecules conserved across species.
• Study of RNA roles in cellular processes: Supports investigations into RNA involvement in gene regulation, protein synthesis, and other cellular processes.

Methodology:

PhyloFold uses a prediction model that combines sequence alignment and structural alignment by focusing on likely pairwise structural alignments and integrating phylogenetic information.