Aug 2026· Molecular biology and evolution· 0 citations
Medicine
TL;DR
It is suggested that disruption of a single CWM can contribute to long-range structural remodeling observed in a disease-associated variant, and incorporated water-mediated interactions into structural models provides a generalizable framework for interpreting human genetic variation and its contribution to disease.
Abstract
Conserved water molecules (CWMs) are tightly bound solvent molecules that occupy well-defined, recurrent positions in protein structures. Although they are known to influence protein stability, function, and ligand binding, their role in shaping the effects of human missense variants remains largely unexplored. Here, we demonstrate that CWMs are a previously underappreciated determinant of missense variant pathogenicity. By predicting ligand-binding and CWM sites across human PDB structures and mapping missense variants to these sites and the remaining protein surface, we found that pathogenic variants were significantly enriched at CWM sites, whether overlapping or outside other ligand-binding regions. This enrichment exceeded that observed for binding sites as a whole, indicating a broader role for water-mediated interactions in modulating variant effects. To explore a mechanistic basis for this association, we performed molecular dynamics simulations of human lysosomal acid glucosylceramidase (GCase), encoded by GBA1 and implicated in Gaucher disease and Parkinson's disease risk. Selective destabilization of a CWM site in wild-type GCase produced structural and dynamical changes resembling those observed in the pathogenic L444P variant, whereas stabilization of this site in L444P shifted several measures toward wild-type behavior. These results suggest that disruption of a single CWM can contribute to long-range structural remodeling observed in a disease-associated variant. Together, our findings identify CWMs as a novel structural constraint shaping the distribution and effects of pathogenic missense variants. Incorporating water-mediated interactions into structural models provides a generalizable framework for interpreting human genetic variation and its contribution to disease.
Proteome-wide prediction and structural modeling of disordered protein interaction interfaces advance characterization of disease-associated variants in disordered protein regions.
D. Hubrich, Jesús Alvarado Valverde, C. Y. Lee et al.· Nature Structural & Molecula...· 0 citations
Leucyl-tRNA synthetase 1 (LARS1) is a multi-domain enzyme essential for translational fidelity and amino acid sensing, with its anticodon-binding domain (ABD) playing a critical role in tRNA recognition. Missense variants in LARS1 have been associated with infantile liver failure syndrome type 1 (ILFS1), yet the struct...
Güzin Tunca Alparslan, Nihan Bilge Satkin, İbrahim Kamer et al.· Journal of Biomolecular Stru...· 0 citations
The activity and abundance of >160,000 variants are quantify the activity and abundance of >160,000 variants to construct complete maps of the energetic and allosteric architectures of five human kinase domains: SRC, FGR, JNK2/MAPK9, ZAK/MAP3K20, and TSSK2.
Carla Folgado, Antoni Beltran, Ben Lehner· bioRxiv· 0 citations
Wilson disease (WD) is a severe metabolic disorder caused by mutations in the copper-transporting ATPase ATP7B. The MBD5–6 tandem module serves as a critical regulatory hub for the protein, harboring several pathogenic missense mutations, including T587M, A595T, and R616Q within the MBD6 domain. However, the atomisti...
Mou-Jun Luan, Gang-Li Cheng, Yu-Jie Cao et al.· Journal of Physical Chemistr...· 0 citations
Elucidating how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants modulate binding between the receptor-binding domain (RBD) and the human Angiotensin-converting enzyme 2 (ACE2) receptor remains central to understanding viral evolution and guiding therapeutic design. This study presents a molecular...
WaterFlow is introduced, a flow-matching-based generator model and confidence model for predicting the positions of ordered water molecules in protein structures that outperforms the existing state of the art at every precision level and quantifies the tradeoff between data quantity and data quality.
Vratin Srivastava, Huanghao Mai, Marcus D. Collins et al.· bioRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.