Evidence map›Paper›PMID 32531203›Full record

ArticleStructure (London, England : 1993)2020

FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds.

Andrew Martin Watkins, Ramya Rangan, Rhiju Das

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing 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

161 citing papers in PubMed.

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  19. Spectral Graph Features for Reference-free RNA 3D Quality Assessment.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

101 more citing papers are in PubMed but not listed here.

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 Martin WatkinsDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ramya RanganBiophysics Program, Stanford University, Stanford, CA 94305, USA.
Rhiju DasDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA; Biophysics Program, Stanford University, Stanford, CA 94305, USA. 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
Computational tools for understanding chemically modified RNA structure and interactionsR21CA219847 · NCI · STANFORD UNIVERSITY · PI DAS, RHIJU · 2017 to 2018
$334k
NCI NIH HHS R21 CA219847NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

Predicting RNA three-dimensional structures from sequence could accelerate understanding of the growing number of RNA molecules being discovered across biology. Rosetta's Fragment Assembly of RNA with Full-Atom Refinement (FARFAR) has shown promise in community-wide blind RNA-Puzzle trials, but lack of a systematic and automated benchmark has left unclear what limits FARFAR performance. Here, we benchmark FARFAR2, an algorithm integrating RNA-Puzzle-inspired innovations with updated fragment libraries and helix modeling. In 16 of 21 RNA-Puzzles revisited without experimental data or expert intervention, FARFAR2 recovers native-like structures more accurate than models submitted during the RNA-Puzzles trials. Remaining bottlenecks include conformational sampling for >80-nucleotide problems and scoring function limitations more generally. Supporting these conclusions, preregistered blind models for adenovirus VA-I RNA and five riboswitch complexes predicted native-like folds with 3- to 14 Å root-mean-square deviation accuracies. We present a FARFAR2 webserver and three large model archives (FARFAR2-Classics, FARFAR2-Motifs, and FARFAR2-Puzzles) to guide future applications and advances.

Indexed as

RNA FoldingSoftwareAnimalsHumansSequence Analysis, RNASequence Homology, Nucleic Acidblind predictionfragment assemblyhomology modelingRNAstructure prediction

Identifiers

PMID32531203
PMCPMC7415647

What OpenQuestion holds

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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.