Back

How Aberrant N-Glycosylation Can Alter Protein Functionality and Ligand Binding: an Atomistic View

Castelli, M.; Yan, P.; Rodina, A.; Digwal, C. S.; Panchal, P.; Chiosis, G.; Moroni, E.; Colombo, G.

2022-12-22 biochemistry
10.1101/2022.12.22.521543 bioRxiv
Show abstract

Protein assembly defects due to enrichment of aberrant conformational variants of proteins are emerging as a new frontier in therapeutics design. Understanding, atomistically, structural elements that remodel the energy landscape of proteins, with the consequence of rewiring the conformational dynamics of proteins and pathologically perturbing functionally-oriented ensembles, is key for development of inhibitors. This is particularly relevant for molecular chaperones, hub proteins for the assembly of large multiprotein complexes, where enrichment of aberrant conformers can have a large impact on the cellular proteome, and in turn, on phenotypes. Here, we integrate computational and experimental tools to unveil how N-glycosylation of specific residues in glucose-regulated protein 94 (GRP94) modulates internal dynamics and alters the conformational fitness of regions fundamental for interaction with the nucleotide and synthetic ligands, and impacts substructures dedicated to recognition of interacting proteins. We show how N-glycosylation plays an active role in modulating the energy landscape of the protein, with specific glycosylation patterns determining specific functionally-oriented dynamic signatures. Our results provide support for leveraging the structural-dynamics knowledge on distinct glycosylation variants to design molecules targeting GRP94 disease-associated conformational states and assemblies. Since glycosylation is the most abundant form of post-translational modification, our results and mechanistic models can readily be transferred to other targets and contexts for cancers and other diseases.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Chemical Science
73 papers in training set
Top 0.1%
14.6%
2
Nature Communications
5641 papers in training set
Top 16%
11.5%
3
Journal of Chemical Information and Modeling
238 papers in training set
Top 0.7%
7.0%
4
eLife
5828 papers in training set
Top 18%
6.5%
5
Journal of the American Chemical Society
217 papers in training set
Top 0.7%
5.3%
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 10%
5.0%
7
Communications Biology
993 papers in training set
Top 3%
4.7%
50% of probability mass above
8
Journal of Molecular Biology
232 papers in training set
Top 0.8%
3.4%
9
Protein Science
246 papers in training set
Top 1%
3.1%
10
ACS Central Science
71 papers in training set
Top 0.3%
3.1%
11
JACS Au
43 papers in training set
Top 0.2%
2.5%
12
Structure
193 papers in training set
Top 1%
2.4%
13
Scientific Reports
3612 papers in training set
Top 45%
2.4%
14
Journal of Biological Chemistry
690 papers in training set
Top 4%
2.3%
15
Biochemistry
148 papers in training set
Top 1%
1.7%
16
ACS Chemical Biology
167 papers in training set
Top 2%
1.7%
17
Cell Reports
1498 papers in training set
Top 22%
1.3%
18
PLOS Computational Biology
1863 papers in training set
Top 16%
1.3%
19
The Journal of Physical Chemistry Letters
63 papers in training set
Top 0.5%
1.3%
20
The Journal of Physical Chemistry B
167 papers in training set
Top 1%
1.3%
21
Angewandte Chemie International Edition
93 papers in training set
Top 1%
1.1%
22
Nucleic Acids Research
1281 papers in training set
Top 12%
1.1%
23
RSC Chemical Biology
39 papers in training set
Top 0.5%
1.1%
24
International Journal of Molecular Sciences
494 papers in training set
Top 12%
1.1%
25
Cell Chemical Biology
94 papers in training set
Top 1%
1.0%
26
Communications Chemistry
48 papers in training set
Top 2%
0.8%
27
iScience
1154 papers in training set
Top 37%
0.8%
28
Biophysical Journal
631 papers in training set
Top 5%
0.8%
29
Computational and Structural Biotechnology Journal
242 papers in training set
Top 7%
0.8%
30
Science Advances
1243 papers in training set
Top 34%
0.6%