Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation

Author:

Visibelli Anna1ORCID,Finetti Rebecca1ORCID,Niccolai Neri12,Spiga Ottavia13ORCID,Santucci Annalisa13ORCID

Affiliation:

1. Department of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy

2. Le Ricerche del BarLume Free Association, Ville di Corsano, 53014 Monteroni d’Arbia, Italy

3. Industry 4.0 Competence Center ARTES 4.0, Viale Rinaldo Piaggio, 56025 Pontedera, Italy

Abstract

The study of rare diseases is important not only for the individuals affected but also for the advancement of medical knowledge and a deeper understanding of human biology and genetics. The wide repertoire of structural information now available from reliable and accurate prediction methods provides the opportunity to investigate the molecular origins of most of the rare diseases reviewed in the Orpha.net database. Thus, it has been possible to analyze the topology of the pathogenic missense variants found in the 2515 proteins involved in Mendelian rare diseases (MRDs), which form the database for our structural bioinformatics study. The amino acid substitutions responsible for MRDs showed different mutation site distributions at different three-dimensional protein depths. We then highlighted the depth-dependent effects of pathogenic variants for the 20,061 pathogenic variants that are present in our database. The results of this structural bioinformatics investigation are relevant, as they provide additional clues to mitigate the damage caused by MRD.

Publisher

MDPI AG

Reference24 articles.

1. Estimating cumulative point prevalence of rare diseases: Analysis of the Orphanet database;Lambert;Eur. J. Hum. Genet.,2020

2. Genetic medicines: Treatment strategies for hereditary disorders;Crystal;Nat. Rev. Genet.,2006

3. ClinVar: Public archive of interpretations of clinically relevant variants;Landrum;Nucleic Acids Res.,2016

4. Laddach, A., Ng, J.C.F., and Fraternali, F. (2021). Pathogenic missense protein variants affect different functional pathways and proteomic features than healthy population variants. PLoS Biol., 19.

5. Berman, H.M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T.N., Weissig, H., Shindyalov, I.N., and Bourne, P.E. (2023, October 12). The Protein Data Bank. Available online: http://www.rcsb.org/.

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