Evidence map›Paper›PMID 40126164›Full record

ArticleProtein science : a publication of the Protein Society2025

A new view of missense mutations in α-mannosidosis using molecular dynamics conformational ensembles.

Špela Mandl, Bruno Di Geronimo, Santiago Alonso-Gil, Christoph Grininger, Gibu George, Ulrika Ferstl, Sereina Annik Herzog, Bojan Žagrović, Christoph Nusshold, Tea Pavkov-Keller and 1 more

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Špela MandlLaboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Otto-Loewi Research Center, Medical University of Graz, Graz, Austria.
Bruno Di GeronimoLaboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Otto-Loewi Research Center, Medical University of Graz, Graz, Austria.
Santiago Alonso-GilMax Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, Austria.
Christoph GriningerInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Gibu GeorgeInstitut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, Girona, Catalonia, Spain.ORCID 0000-0003-4701-9860
Ulrika FerstlLaboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Otto-Loewi Research Center, Medical University of Graz, Graz, Austria.
Sereina Annik HerzogInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Bojan ŽagrovićMax Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, Austria.
Christoph NussholdLaboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Otto-Loewi Research Center, Medical University of Graz, Graz, Austria.
Tea Pavkov-KellerInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Pedro A Sánchez-MurciaLaboratory of Computer-Aided Molecular Design, Division of Medicinal Chemistry, Otto-Loewi Research Center, Medical University of Graz, Graz, Austria.ORCID 0000-0001-8415-870X

Funding

Austrian Science Fund DOI: 10.55776/DOC130Fundación Martínez EscuderoHorizon 2020 Framework Programme 847548Vienna Scientific Cluster ProjectNr.72117
6 · The paper itself

Abstract

The mutation of remote positions on enzyme scaffolds and how these residue changes can affect enzyme catalysis is still far from being fully understood. One paradigmatic example is the group of lysosomal storage disorders, where the enzyme activity of a lysosomal enzyme is abolished or severely reduced. In this work, we analyze molecular dynamics simulation conformational ensembles to unveil the molecular features controlling the deleterious effects of the 43 reported missense mutations in the human lysosomal α-mannosidase. Using residue descriptors for protein dynamics, their coupling with the active site, and their impact on protein stability, we have assigned the contribution of each of the missense mutations into protein stability, protein dynamics, and their connectivity with the active site. We demonstrate here that the use of conformational ensembles is a powerful approach not only to better understand missense mutations at the molecular level but also to revisit the missense mutations reported in lysosomal storage disorders in order to aid the treatment of these diseases.

Indexed as

alpha-Mannosidasealpha-MannosidosisMolecular Dynamics SimulationMutation, MissenseCatalytic DomainHumansProtein Conformationalpha-Mannosidasealpha‐mannosidosisbond‐to‐bond propensityconformational ensemblefree energymutual informationrare disease

Identifiers

PMID40126164
PMCPMC11931667

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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.