Identification of Pathogenic Missense Mutations of NF1 Using Computational Approaches.


Journal

Journal of molecular neuroscience : MN
ISSN: 1559-1166
Titre abrégé: J Mol Neurosci
Pays: United States
ID NLM: 9002991

Informations de publication

Date de publication:
07 Oct 2024
Historique:
received: 23 07 2024
accepted: 27 09 2024
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 7 10 2024
Statut: epublish

Résumé

Neurofibromatosis type 1 (NF1) is a prevalent autosomal dominant disorder caused by mutations in the NF1 gene, leading to multisystem disorders. Given the critical role of cysteine residues in protein stability and function, we aimed to identify key NF1 mutations affecting cysteine residues that significantly contribute to neurofibromatosis pathology. To identify the most critical mutations in the NF1 gene that contribute to the pathology of neurofibromatosis, we employed a sophisticated computational pipeline specifically designed to detect significant mutations affecting the NF1 gene. Our approach involved an exhaustive search of databases such as the Human Gene Mutation Database (HGMD), UniProt, and ClinVar for information on missense mutations associated with NF1. Our search yielded a total of 204 unique cysteine missense mutations. We then employed in silico prediction tools, including PredictSNP, iStable, and Align GVGD, to assess the impact of these mutations. Among the mutations, C379R, R1000C, and C1016Y stood out due to their deleterious effects on the biophysical properties of the neurofibromin protein, significantly destabilizing its structure. These mutations were subjected to further phenotyping analysis using SNPeffect 4.0, which predicted disturbances in the protein's chaperone binding sites and overall structural stability. Furthermore, to directly visualize the impact of these mutations on protein structure, we utilized AlphaFold3 to simulate both the wild-type and mutant NF1 structures, revealing the significant effects of the R1000C mutation on the protein's conformation. In conclusion, the identification of these mutations can play a pivotal role in advancing the field of precision medicine and aid in the development of effective drugs for associated diseases.

Identifiants

pubmed: 39373898
doi: 10.1007/s12031-024-02271-x
pii: 10.1007/s12031-024-02271-x
doi:

Substances chimiques

Neurofibromin 1 0
NF1 protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

94

Subventions

Organisme : Natural Science Foundation of Zhejiang Province
ID : LQ22C070004

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Jie Chen (J)

Department of Respiratory, Hangzhou Children's Hospital, Hangzhou, 310014, Zhejiang Province, China.

Ziqiao Li (Z)

Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang Province, China.

Yiheng Wu (Y)

Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei Province, China.

Xiang Li (X)

Department of Nephrology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, Zhejiang Province, China.

Zipei Chen (Z)

Department of Nephrology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, Zhejiang Province, China.

Pan Chen (P)

Department of Nephrology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, Zhejiang Province, China.

Yuhan Ding (Y)

State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Chengpeng Wu (C)

Liangzhu Laboratory, Zhejiang University, 311121, Hangzhou, China. wuchengpeng@zju.edu.cn.

Lidan Hu (L)

Department of Nephrology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, Zhejiang Province, China. hulidan@zju.edu.cn.

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