Evidence map›Paper›PMID 41867739›Full record

ArticlebioRxiv : the preprint server for biology2026

Characterizing the Conformational Dynamics of an Intrinsically Disordered Localization Sequence.

Matthew Brownd, Parth Chaturvedi, Ashkan Fakharzadeh, Mahmoud Moradi

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

4 authors.

Matthew BrowndDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA.
Parth ChaturvediDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA.
Ashkan FakharzadehTheoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois UrbanaChampaign, Urbana, Illinois 61801, USA.
Mahmoud MoradiDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA.

Funding

Resource for Macromolecular Modeling and VisualizationR24GM145965 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Emad Tajkhorshid · 2022 to 2026
$6.2M
Physics-based characterization of functionally relevant protein conformational dynamicsR35GM147423 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Mahmoud Moradi · 2022 to 2026
$1.7M
NIGMS NIH HHS R24 GM145965NIGMS NIH HHS R35 GM147423
6 · The paper itself

Abstract

Mitochondrial localization peptides (MLPs) play a critical role in directing proteins to mitochondria, yet how subtle sequence variations influence their conformational behavior remains poorly understood. Here, we investigate the conformational dynamics of a 15-residue MLP derived from the androgen receptor, together with a comprehensive panel of single-residue variants generated by systematic substitution at the second position. Across all variants, the peptide remains intrinsically disordered, exhibiting broad conformational heterogeneity and no stable folded state. Global measures of compactness show that single-residue substitutions induce only modest changes to overall peptide dimensions. In contrast, residue-level analysis reveals that the identity of the second residue subtly reshapes local structural preferences, particularly near the N-terminus. Small or hydrophobic substitutions enhance transient

Identifiers

PMID41867739
PMCPMC13001414

What OpenQuestion holds

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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.