ScanFold

ScanFold identifies and maps potentially functional RNA secondary structures within individual viral RNA sequences by scanning for regions with unusually negative thermodynamic z-scores to prioritize structure–function candidates.


Key Features:

  • Single-Sequence Analysis: Operates on individual RNA sequences without requiring curated sequence alignments or evidence of structural conservation.
  • Thermodynamic Z-Scores: Scans input RNA sequences to compute thermodynamic z-scores and highlights regions with unusually negative values indicative of stable secondary structures.
  • Base Pair Identification: Pinpoints specific base pairs that contribute to identified stable structures for further analysis.
  • Integration with Experimental Data: Predictions have been compared with SHAPE reactivities and higher base pairing probabilities and applied to viral genomes including ZIKV (Zika virus) and HIV-1 (Human Immunodeficiency Virus 1).

Scientific Applications:

  • Viral RNA structural mapping: Enables virologists and molecular biologists to explore the structural landscape of viral RNAs and identify candidate functional motifs.
  • Candidate prioritization for structure–function studies: Prioritizes regions for experimental validation and detailed structure–function analyses.
  • Informing mechanistic and therapeutic studies: Provides structural hypotheses to support investigations of viral mechanisms and the development of targeted interventions.

Methodology:

ScanFold scans input RNA sequences, computes thermodynamic z-scores using folding energies and stability metrics, identifies windows with negative z-scores, and locates base pairs contributing to those stable structures while decoupling prediction from conservation analysis.

Topics

Details

Tool Type:
api
Programming Languages:
Python
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Andrews RJ, Baber L, Moss WN. Mapping the RNA structural landscape of viral genomes. Methods. 2020;183:57-67. doi:10.1016/j.ymeth.2019.11.001. PMID:31711930. PMCID:PMC7205576.

Links