Evidence map›Paper›PMID 42099014›Full record

ArticleBiophysical journal2026

Phosphorylation-dependent structure and dynamics of caveolin-1 8S complex.

Ukesh Karki, Sadeq Shabani, Prabin Dahal, Cathy Padilla, Joshua D Hutcheson, Prem Chapagain

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Ukesh KarkiDepartment of Physics, Florida International University, Miami, FL, USA.
Sadeq ShabaniDepartment of Biological Sciences, Florida International University, Miami, FL, USA.
Prabin DahalDepartment of Physics, Florida International University, Miami, FL, USA.
Cathy PadillaDepartment of Physics, Florida International University, Miami, FL, USA.
Joshua D HutchesonDepartment of Biomedical Engineering, College of Engineering & Computing, Florida International University, Miami, FL, USA; Biomolecular Sciences Institute, Florida International University, Miami, FL, USA.
Prem ChapagainDepartment of Physics, Florida International University, Miami, FL, USA; Biomolecular Sciences Institute, Florida International University, Miami, FL, USA. Electronic address: chapagap@fiu.edu.

Funding

Targeting the Caveolae-Dependent Mechanism of Calcifying Extracellular Vesicle FormationR01HL160740 · NHLBI · FLORIDA INTERNATIONAL UNIVERSITY · PI Joshua D Hutcheson · 2022 to 2026
$1.8M
NHLBI NIH HHS R01 HL160740
6 · The paper itself

Abstract

Caveolin-1 (Cav-1) is a membrane-associated scaffolding protein essential for lipid regulation, cellular signaling, and caveolae formation. Phosphorylation at tyrosine 14 (Y14) of Cav-1 plays a pivotal role in modulating its functional dynamics, but the structural consequences of this modification remain unexplored. This site belongs to the N-terminal tail, which is unresolved in the recent cryoelectron microscopy structures of the Cav-1 8S complexes. In this work, we used AlphaFold 3 (AF3) to generate a full-length model of the human Cav-1 8S complex and its phosphorylated form and performed molecular dynamics simulations of both complexes embedded in the plasma membrane. Inclusion of the N-terminal tail in the AF3-predicted models significantly enhances protein-membrane interactions, highlighting the membrane-binding role of the N-terminal tail. Our results show that the Y14 phosphorylation induces significant conformational changes to the N-terminal tail structure with enhanced inter-protomer hydrogen bonding resulting in an altered conformational state. The results provide mechanistic insights into how phosphorylation may act as a molecular switch that regulates Cav-1's structural behavior, membrane affinity, and caveolae biogenesis.

Indexed as

Caveolin 1Molecular Dynamics SimulationCell MembraneHumansPhosphorylationProtein ConformationCaveolin 1

Identifiers

PMID42099014
PMCPMC13267947

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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.