Evidence map›Paper›PMID 28162235›Full record

ArticleBiophysical journal2017

Opportunities and Challenges in RNA Structural Modeling and Design.

Tamar Schlick, Anna Marie Pyle

Abstract readConference Proceedings
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. RNA 3D Structure Prediction: Progress and Perspective.Molecules (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Fiedler Vector Scoring Approach for Novel RNA Motif Selection.The journal of physical chemistry. B · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. RNA Back to the Spotlight.Journal of structural biology · 2020
    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

2 authors.

Tamar SchlickDepartment of Chemistry, New York University, New York, New York; Courant Institute of Mathematical Sciences, New York University, New York, New York. Electronic address: schlick@nyu.edu.
Anna Marie PyleDepartment of Molecular and Cellular and Developmental Biology and Department of Chemistry, Yale University; Howard Hughes Medical Institute, New Haven, Connecticut. Electronic address: anna.pyle@yale.edu.

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
Modeling RNA Tertiary Structure Folding by a Hierarchical FrameworkR01GM100469 · NIGMS · NEW YORK UNIVERSITY · PI SCHLICK, TAMAR · 2011 to 2014
$1.5M
Telluride Workshop on Challenges in RNA Structural Modeling and DesignR13GM112216 · NIGMS · NEW YORK UNIVERSITY · PI PYLE, ANNA MARIE, SCHLICK, TAMAR · 2014 to 2016
$10k
NIGMS NIH HHS R01 GM100469NIGMS NIH HHS R13 GM112216NIGMS NIH HHS R35 GM122562
6 · The paper itself

Abstract

We describe opportunities and challenges in RNA structural modeling and design, as recently discussed during the second Telluride Science Research Center workshop organized in June 2016. Topics include fundamental processes of RNA, such as structural assemblies (hierarchical folding, multiple conformational states and their clustering), RNA motifs, and chemical reactivity of RNA, as used for structural prediction and functional inference. We also highlight the software and database issues associated with RNA structures, such as the multiple approaches for motif annotation, the need for frequent database updating, and the importance of quality control of RNA structures. We discuss various modeling approaches for structure prediction, mechanistic analysis of RNA reactions, and RNA design, and the complementary roles that both atomistic and coarse-grained approaches play in such simulations. Collectively, as scientists from varied disciplines become familiar and drawn into these unique challenges, new approaches and collaborative efforts will undoubtedly be catalyzed.

Indexed as

Models, GeneticModels, MolecularNucleic Acid ConformationRNAComputer SimulationDatabases, Nucleic AcidRNA

Identifiers

PMID28162235
PMCPMC5529161

What OpenQuestion holds

Textmetadata
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.