Evidence map›Paper›PMID 31239046›Full record

ArticleMethods in enzymology2019

Using Rosetta for RNA homology modeling.

Andrew M Watkins, Ramya Rangan, Rhiju Das

Abstract read
In one paragraph

Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. AI-Driven Deep Learning Techniques in Protein Structure Prediction.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Assessment of three-dimensional RNA structure prediction in CASP15.bioRxiv : the preprint server for biology · 2023
    Article
  7. RNA 3D Modeling with FARFAR2, Online.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Recent advances in RNA structurome.Science China. Life sciences · 2022
    Review
  9. Article
  10. Recent trends in biocatalysis.Chemical Society reviews · 2021
    Review
  11. Article
  12. Article
  13. 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

3 authors.

Andrew M WatkinsDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, United States.
Ramya RanganBiophysics Program, Stanford University, Stanford, CA, United States.
Rhiju DasDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, United States; Biophysics Program, Stanford University, Stanford, CA, United States. Electronic address: rhiju@stanford.edu.

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

The three-dimensional structures of RNA molecules provide rich and often critical information for understanding their functions, including how they recognize small molecule and protein partners. Computational modeling of RNA 3D structure is becoming increasingly accurate, particularly with the availability of growing numbers of template structures already solved experimentally and the development of sequence alignment and 3D modeling tools to take advantage of this database. For several recent "RNA puzzle" blind modeling challenges, we have successfully identified useful template structures and achieved accurate structure predictions through homology modeling tools developed in the Rosetta software suite. We describe our semi-automated methodology here and walk through two illustrative examples: an adenine riboswitch aptamer, modeled from a template guanine riboswitch structure, and a SAM I/IV riboswitch aptamer, modeled from a template SAM I riboswitch structure.

Indexed as

RiboswitchAdenineAptamers, NucleotideGuanineModels, MolecularNucleic Acid ConformationRNAAdenineAptamers, NucleotideGuanineRiboswitchRNAHomology modelingRiboswitchRNARosetta

Identifiers

PMID31239046
PMCPMC7932369

What OpenQuestion holds

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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.