Back

Alphafold, Foldseek and MD in NOTCH3 variants: a cohort study

Men, X.; Zhang, L.; Liu, S.; Wan, S.; Qiu, W.; Zhengqi, L.; Yu, Q.

2026-02-25 neurology
10.64898/2026.02.23.26346941 medRxiv
Show abstract

Background and ObjectivesNotch homolog 3 (NOTCH3) gene variants were fully penetrant to produce the disease phenotype of CADASIL. Aberrant NOTCH3 protein leads to degeneration of vascular SMCs and pericytes, targeting microcirculation dysfunction and blood-brain barrier (BBB) leakage. MethodsWe evaluated neuroimaging data of forty patients with NOTCH3 gene variants including eighteen missense/insertion mutations in epidermal growth factor repeat (EGF), negative regulatory region (NRR), and disordered region (Dis). We performed an AI-driven pipeline integrating AlphaFold3, Foldseek, and molecular dynamics simulations to elucidate clinical and molecular consequences. ResultsDistinct domain mutations exhibited characteristic patterns: EGFs 1, 2, 13-15, 32 and Dis correlated with microbleeds/macro-bleeds, lacunes, perivascular spaces, and acute cerebral microinfarcts; EGFs 2, 3, 13-15, 25 with disrupted disulfide bonds or binding motif of protein O-glucosyltransferase 1 (POGLUT1) were predicted to undergo greater structural and functional deteriorations in Notch signaling pathways. NRR/Fab (antigen-binding fragment) destabilized dominant motions and single apo-Dis exhibited low structural disorder. Agreement between computational and experimental data for wild-type EGFs/POGLUT1 and C49F, R75Q, R141C mutants suggests testable hypotheses that advance understanding of cerebral small-vessel disease. DiscussionTargeting POGLUT1 to modulate EGF-like domains and using the Fab region to stabilize NRR complexes may be a promising therapeutic approach deserving rigorous exploration.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Stroke
35 papers in training set
Top 0.2%
9.0%
2
Frontiers in Neurology
91 papers in training set
Top 0.7%
8.3%
3
Brain Communications
147 papers in training set
Top 0.2%
8.1%
4
Brain
154 papers in training set
Top 0.8%
6.7%
5
Neurology
44 papers in training set
Top 0.2%
6.3%
6
Journal of Thrombosis and Haemostasis
28 papers in training set
Top 0.2%
3.5%
7
Annals of Clinical and Translational Neurology
29 papers in training set
Top 0.3%
3.5%
8
Alzheimer's & Dementia
143 papers in training set
Top 1%
3.5%
9
Journal of the Neurological Sciences
17 papers in training set
Top 0.1%
2.7%
50% of probability mass above
10
Neurobiology of Disease
134 papers in training set
Top 2%
2.7%
11
PLOS ONE
4510 papers in training set
Top 49%
2.0%
12
Journal of Neurology
26 papers in training set
Top 0.5%
2.0%
13
Journal of the American Heart Association
119 papers in training set
Top 3%
1.9%
14
Frontiers in Neuroscience
223 papers in training set
Top 3%
1.9%
15
NeuroImage: Clinical
132 papers in training set
Top 2%
1.8%
16
Annals of Neurology
57 papers in training set
Top 1%
1.7%
17
European Journal of Neurology
20 papers in training set
Top 0.3%
1.7%
18
Scientific Reports
3102 papers in training set
Top 59%
1.7%
19
BMC Neurology
12 papers in training set
Top 0.4%
1.6%
20
Neurocritical Care
11 papers in training set
Top 0.2%
1.6%
21
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.7%
1.6%
22
Computers in Biology and Medicine
120 papers in training set
Top 3%
1.3%
23
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.4%
1.3%
24
eBioMedicine
130 papers in training set
Top 2%
1.2%
25
Movement Disorders
62 papers in training set
Top 0.8%
1.2%
26
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.5%
0.9%
27
Computational and Structural Biotechnology Journal
216 papers in training set
Top 8%
0.9%
28
Stroke: Vascular and Interventional Neurology
13 papers in training set
Top 0.3%
0.9%
29
Journal of Alzheimer’s Disease
39 papers in training set
Top 1%
0.7%
30
Diagnostics
48 papers in training set
Top 2%
0.7%