Evidence map›Paper›PMID 41993410›Full record

ArticlebioRxiv : the preprint server for biology2026

Spectral Graph Features for Reference-free RNA 3D Quality Assessment.

Ying Zhu, Huaiwen Zhang, Vince D Calhoun, Yuda Bi

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ying ZhuWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China.
Huaiwen ZhangSchool of Computer Science and Technology, Xidian University, Xi'an 710126, China.
Vince D CalhounSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Yuda BiTReNDS Center, Georgia State University, Atlanta, GA, USA.

Funding

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivityR01MH123610 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.1M
NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH123610
6 · The paper itself

Abstract

Motivation: Existing RNA 3D structure quality assessment (QA) methods rely on local geometric descriptors or statistical potentials that evaluate atomic-level contacts but are blind to global topological coherence. This creates a critical failure mode-structures that are "locally correct but globally wrong"-where well-formed local helices mask misplaced domains and incorrect overall packing. Results: We introduce SpecRNA-QA, a lightweight RNA QA method based on multiscale graph-Laplacian features of inter-nucleotide contact networks. In CASP16 leave-one-out cross-validation, it achieves median per-target Spearman

Indexed as

CASPgraph Laplacianheat kernelquality assessmentRNA structurespectral graph theory

Identifiers

PMID41993410
PMCPMC13081860

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.