Evidence map›Paper›PMID 30137633›Full record

ArticleNucleic acids research2018

A pipeline for computational design of novel RNA-like topologies.

Swati Jain, Alain Laederach, Silvia B V Ramos, Tamar Schlick

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution of coronavirus frameshifting elements: Competing stem networks explain conservation and variability.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Article
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  11. A Fiedler Vector Scoring Approach for Novel RNA Motif Selection.The journal of physical chemistry. B · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Adventures with RNA graphs.Methods (San Diego, Calif.) · 2018
    Review
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.

Swati JainDepartment of Chemistry, New York University, 1001 Silver, 100 Washington Square East, New York, NY 10003, USA.
Alain LaederachDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Silvia B V RamosDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tamar SchlickDepartment of Chemistry, New York University, 1001 Silver, 100 Washington Square East, New York, NY 10003, USA.

Funding

Bridging Disparate Structural/Functional Scales: Multiscale Modeling of the Chromatin Fiber and RNA Tertiary StructuresR35GM122562 · NIGMS · NEW YORK UNIVERSITY · PI Tamar Schlick · 2017 to 2026
$4.6M
Structural and functional consequences of disease SNPs on the transcriptomeR01GM101237 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAEDERACH, ALAIN T · 2012 to 2020
$2.5M
Predicting the causative SNPs in LD blocks by allele-specific structural analysisR01HG008133 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAEDERACH, ALAIN T, WEEKS, KEVIN M · 2015 to 2017
$2.4M
Modeling RNA Tertiary Structure Folding by a Hierarchical FrameworkR01GM100469 · NIGMS · NEW YORK UNIVERSITY · PI SCHLICK, TAMAR · 2011 to 2014
$1.5M
Regulation of Leukemia Inhibitory Factor (LIF) for early embryo implantationK08HD069597 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RAMOS, SILVIA BEATRIZ · 2012 to 2016
$565k
NHGRI NIH HHS R01 HG008133NICHD NIH HHS K08 HD069597NIGMS NIH HHS R01 GM100469NIGMS NIH HHS R01 GM101237NIGMS NIH HHS R35 GM122562
6 · The paper itself

Abstract

Designing novel RNA topologies is a challenge, with important therapeutic and industrial applications. We describe a computational pipeline for design of novel RNA topologies based on our coarse-grained RNA-As-Graphs (RAG) framework. RAG represents RNA structures as tree graphs and describes RNA secondary (2D) structure topologies (currently up to 13 vertices, ≈260 nucleotides). We have previously identified novel graph topologies that are RNA-like among these. Here we describe a systematic design pipeline and illustrate design for six broad design problems using recently developed tools for graph-partitioning and fragment assembly (F-RAG). Following partitioning of the target graph, corresponding atomic fragments from our RAG-3D database are combined using F-RAG, and the candidate atomic models are scored using a knowledge-based potential developed for 3D structure prediction. The sequences of the top scoring models are screened further using available tools for 2D structure prediction. The results indicate that our modular approach based on RNA-like topologies rather than specific 2D structures allows for greater flexibility in the design process, and generates a large number of candidate sequences quickly. Experimental structure probing using SHAPE-MaP for two sequences agree with our predictions and suggest that our combined tools yield excellent candidates for further sequence and experimental screening.

Indexed as

Computer-Aided DesignNucleic Acid ConformationBase SequenceComputational BiologyModels, MolecularReproducibility of ResultsRNARNA

Identifiers

PMID30137633
PMCPMC6101589

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LicenceCC BY-NC
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Registered trials

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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.