Associated Papers
RENOVO-NF1 accurately predicts NF1 missense variant pathogenicity.
Bonetti E et al.
Human Genomics, 2025
40887659 (PubMed )
Supplement: 40246_2025_803_MOESM3_ESM.xlsx › Sheet_1
Identification of Pathogenic Missense Mutations of NF1 Using Computational Approaches.
Chen J et al.
Journal of Molecular Neuroscience : Mn, 2024
39373898 (PubMed )
Supplement: 12031_2024_2271_MOESM1_ESM.docx
In-silico Analysis of NF1 Missense Variants in ClinVar: Translating Variant Predictions into Variant Interpretation and Classification.
Accetturo M et al.
International Journal of Molecular Sciences, 2020
31979111 (PubMed )
Supplement: ijms-21-00721-s001.zip › ijms-614345-supplementary_files › Supplementary_Table_S3.xlsx › Suppl._Table_S3
Systematic analysis of the intersection of disease mutations with protein modifications.
Simpson CM et al.
Bmc Medical Genomics, 2019
31345222 (PubMed )
Supplement: 12920_2019_543_MOESM5_ESM.xlsx › S4
Next-generation sequencing reveals somatic mutations that confer exceptional response to everolimus.
Lim SM et al.
Oncotarget, 2016
26859683 (PubMed )
Supplement: oncotarget-07-10547-s002.pdf
Structure-energy-based predictions and network modelling of RASopathy and cancer missense mutations.
Kiel C et al.
Molecular Systems Biology, 2014
24803665 (PubMed )
Supplement: MSB-10-5-727-s13.xls › energies
Minor lesion mutational spectrum of the entire NF1 gene does not explain its high mutability but points to a functional domain upstream of the GAP-related domain.
Fahsold R et al.
American Journal of Human Genetics, 2000
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