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Volume 25
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Open AccessCommunication
by Anna Visibelli Anna Visibelli SciProfiles Scilit Preprints.org Google Scholar Rebecca Finetti Rebecca Finetti SciProfiles Scilit Preprints.org Google Scholar Neri Niccolai Neri Niccolai SciProfiles Scilit Preprints.org Google Scholar Ottavia Spiga Ottavia Spiga SciProfiles Scilit Preprints.org Google Scholar Annalisa Santucci Annalisa Santucci SciProfiles Scilit Preprints.org Google Scholar
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
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Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(13), 6953; https://doi.org/10.3390/ijms25136953
Submission received: 28 March 2024 / Revised: 11 June 2024 / Accepted: 21 June 2024 / Published: 25 June 2024
(This article belongs to the Special Issue Application and Latest Progress of Bioinformatics in Drug Discovery)
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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.
Keywords: rare diseases; missense pathogenic variants; protein structure; databank analysis; structural bioinformatics
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MDPI and ACS Style
Visibelli, A.; Finetti, R.; Niccolai, N.; Spiga, O.; Santucci, A. Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation. Int. J. Mol. Sci. 2024, 25, 6953. https://doi.org/10.3390/ijms25136953
AMA Style
Visibelli A, Finetti R, Niccolai N, Spiga O, Santucci A. Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation. International Journal of Molecular Sciences. 2024; 25(13):6953. https://doi.org/10.3390/ijms25136953
Chicago/Turabian Style
Visibelli, Anna, Rebecca Finetti, Neri Niccolai, Ottavia Spiga, and Annalisa Santucci. 2024. "Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation" International Journal of Molecular Sciences 25, no. 13: 6953. https://doi.org/10.3390/ijms25136953
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
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MDPI and ACS Style
Visibelli, A.; Finetti, R.; Niccolai, N.; Spiga, O.; Santucci, A. Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation. Int. J. Mol. Sci. 2024, 25, 6953. https://doi.org/10.3390/ijms25136953
AMA Style
Visibelli A, Finetti R, Niccolai N, Spiga O, Santucci A. Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation. International Journal of Molecular Sciences. 2024; 25(13):6953. https://doi.org/10.3390/ijms25136953
Chicago/Turabian Style
Visibelli, Anna, Rebecca Finetti, Neri Niccolai, Ottavia Spiga, and Annalisa Santucci. 2024. "Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation" International Journal of Molecular Sciences 25, no. 13: 6953. https://doi.org/10.3390/ijms25136953
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
Int. J. Mol. Sci., EISSN 1422-0067, Published by MDPI
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