Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Mandl, S; Di Geronimo, B; Alonso-Gil, S; Grininger, C; George, G; Ferstl, U; Herzog, SA; Zagrovic, B; Nusshold, C; Pavkov-Keller, T; Sánchez-Murcia, PA.
A new view of missense mutations in α-mannosidosis using molecular dynamics conformational ensembles
PROTEIN SCI. 2025; 34(4): e70080
Doi: 10.1002/pro.70080
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- Führende Autor*innen der Med Uni Graz
- Mandl Spela
- Sánchez Murcia Pedro Alejandro
- Co-Autor*innen der Med Uni Graz
- Di Geronimo Quintero Bruno
- Ferstl Ulrika
- Herzog Sereina Annik
- Nusshold Christoph
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- 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 alpha-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.
- Find related publications in this database (Keywords)
- alpha-mannosidosis
- bond-to-bond propensity
- conformational ensemble
- free energy
- mutual information
- rare disease