Evidence map›Paper›PMID 41648404›Full record

ArticlebioRxiv : the preprint server for biology2026

Gene function predicts divergence across molecular levels.

Antara Anika Piya, Ksenia Macias Calix, Raquel Assis

Abstract readPreprint
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

3 authors.

Antara Anika PiyaDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.
Ksenia Macias CalixDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.
Raquel AssisDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.

Funding

Learning about the evolution of structural variations from genomic and transcriptomic dataR35GM142438 · NIGMS · FLORIDA ATLANTIC UNIVERSITY · PI ASSIS, RAQUEL · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM142438
6 · The paper itself

Abstract

Genes can evolve through changes at their DNA, RNA, or protein levels. However, because these changes are measured using distinct and often incomparable metrics, their relative contributions to genic evolution remain unclear. Here, we address this challenge by developing a standardized framework for comparing evolutionary divergence in protein-coding sequences, multi-tissue expression profiles, and protein structures. Application of this approach to data from

Indexed as

evolutiongene expressionprotein structureselectionsequence divergence

Identifiers

PMID41648404
PMCPMC12871119

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.