Evidence map›Paper›PMID 30462314›Full record

ArticleNucleic acids research2019

Design of highly active double-pseudoknotted ribozymes: a combined computational and experimental study.

Ryota Yamagami, Mohammad Kayedkhordeh, David H Mathews, Philip C Bevilacqua

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. De novo design of RNA pseudoknots with deep learning.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Computational De Novo Design of Group II Introns Yields Highly Active Ribozymes.Chembiochem : a European journal of chemical biology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ryota YamagamiDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Mohammad KayedkhordehDepartment of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York, NY 14642, USA.
David H MathewsDepartment of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York, NY 14642, USA.
Philip C BevilacquaDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Pennsylvania State University · USUniversity of Rochester Medical Center · US

Funding

Supporting RNAstructure: Software for RNA AnalysisR01GM076485 · NIGMS · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2006 to 2021
$4.7M
RNA folding and catalysis at the interface of biophysics and genomicsR35GM127064 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PHILIP C BEVILACQUA · 2018 to 2026
$3.4M
RNA Folding and Adaptation in a Cellular ContextR01GM110237 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI BEVILACQUA, PHILIP C · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM076485NIGMS NIH HHS R01 GM110237NIGMS NIH HHS R35 GM127064
6 · The paper itself

Abstract

Design of RNA sequences that adopt functional folds establishes principles of RNA folding and applications in biotechnology. Inverse folding for RNAs, which allows computational design of sequences that adopt specific structures, can be utilized for unveiling RNA functions and developing genetic tools in synthetic biology. Although many algorithms for inverse RNA folding have been developed, the pseudoknot, which plays a key role in folding of ribozymes and riboswitches, is not addressed in most algorithms. For the few algorithms that attempt to predict pseudoknot-containing ribozymes, self-cleavage activity has not been tested. Herein, we design double-pseudoknot HDV ribozymes using an inverse RNA folding algorithm and test their kinetic mechanisms experimentally. More than 90% of the positively designed ribozymes possess self-cleaving activity, whereas more than 70% of negative control ribozymes, which are predicted to fold to the necessary structure but with low fidelity, do not possess it. Kinetic and mutation analyses reveal that these RNAs cleave site-specifically and with the same mechanism as the WT ribozyme. Most ribozymes react just 50- to 80-fold slower than the WT ribozyme, and this rate can be improved to near WT by modification of a junction. Thus, fast-cleaving functional ribozymes with multiple pseudoknots can be designed computationally.

Indexed as

RNA FoldingAlgorithmsBiotechnologyComputational BiologyKineticsNucleic Acid ConformationRiboswitchRNA, CatalyticSynthetic BiologyRiboswitchRNA, Catalytic

Identifiers

PMID30462314
PMCPMC6326823
OpenAlexW2900607420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.