metadata

language: rna
tags:
  - Biology
  - RNA
license:
  - agpl-3.0
size_categories:
  - 1K<n<10K
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
pretty_name: EternaBench-ChemMapping
library_name: multimolecule

EternaBench-ChemMapping

EternaBench-ChemMapping is a synthetic RNA dataset comprising 12,711 RNA constructs that have been chemically mapped using SHAPE and MAP-seq methods. These RNA sequences are probed to obtain experimental data on their nucleotide reactivity, which indicates whether specific regions of the RNA are flexible or structured. The dataset provides high-resolution, large-scale data that can be used for studying RNA folding and stability.

Disclaimer

This is an UNOFFICIAL release of the EternaBench-ChemMapping by Hannah K. Wayment-Steele, et al.

The team releasing EternaBench-ChemMapping did not write this dataset card for this dataset so this dataset card has been written by the MultiMolecule team.

Dataset Description

Homepage: https://multimolecule.danling.org/datasets/eternabench_cm
datasets: https://huggingface.co/datasets/multimolecule/eternabench-cm
Point of Contact: Rhiju Das

The dataset includes a large set of synthetic RNA sequences with experimental chemical mapping data, which provides a quantitative readout of RNA nucleotide reactivity. These data are ensemble-averaged and serve as a critical benchmark for evaluating secondary structure prediction algorithms in their ability to model RNA folding dynamics.

Example Entry

index	design	sequence	secondary_structure	reactivity	errors	signal_to_noise
769337-1	d+m plots weaker again	GGAAAAAAAAAAA...	................	[0.642,1.4853,0.1629, ...]	[0.3181,0.4221,0.1823, ...]	3.227

Column Description

The EternaBench-ChemMapping dataset consists of the following columns, providing crucial insights for understanding RNA stability for vaccine design:

ID: A unique identifier for each RNA sequence entry.
design_name: The name given to each RNA design by contributors, used for easy reference.
sequence: The nucleotide sequence of the RNA molecule, represented using the standard RNA bases:
- A: Adenine
- C: Cytosine
- G: Guanine
- U: Uracil
secondary_structure: The secondary structure of the RNA represented in dot-bracket notation, using up to three types of symbols to indicate base pairing and unpaired regions, as per bpRNA's standard:
- Dots (.): Represent unpaired nucleotides.
- Parentheses (( and )): Represent base pairs in standard stems (page 1).
- Square Brackets ([ and ]): Represent base pairs in pseudoknots (page 2).
- Curly Braces ({ and }): Represent base pairs in additional pseudoknots (page 3).
reactivity: A list of normalized reactivity values for each nucleotide, representing the likelihood that a nucleotide is unpaired. High reactivity indicates high flexibility (unpaired regions), and low reactivity corresponds to paired or structured regions.
errors: Arrays of floating-point numbers indicating the experimental errors corresponding to the measurements in the reactivity. These values help quantify the uncertainty in the degradation rates and reactivity measurements.
signal_to_noise: The signal-to-noise ratio calculated from the reactivity and error values, providing a measure of data quality.

Related Datasets

License

This dataset is licensed under the AGPL-3.0 License.

SPDX-License-Identifier: AGPL-3.0-or-later

Citation

@article{waymentsteele2022rna,
  author    = {Wayment-Steele, Hannah K and Kladwang, Wipapat and Strom, Alexandra I and Lee, Jeehyung and Treuille, Adrien and Becka, Alex and {Eterna Participants} and Das, Rhiju},
  journal   = {Nature Methods},
  month     = oct,
  number    = 10,
  pages     = {1234--1242},
  publisher = {Springer Science and Business Media LLC},
  title     = {{RNA} secondary structure packages evaluated and improved by high-throughput experiments},
  volume    = 19,
  year      = 2022
}