HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase

Alkaptonuria (AKU), a rare genetic disorder, is characterized by the accumulation of homogentisic acid (HGA) in the body. Affected individuals lack functional levels of an enzyme required to breakdown HGA. Mutations in the homogentisate 1,2-dioxygenase (HGD) gene cause AKU and they are responsible f...

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Main Authors: Malancha Karmakar, Vittoria Cicaloni, Carlos H.M. Rodrigues, Ottavia Spiga, Annalisa Santucci, David B. Ascher
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Current Research in Structural Biology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665928X22000241
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author Malancha Karmakar
Vittoria Cicaloni
Carlos H.M. Rodrigues
Ottavia Spiga
Annalisa Santucci
David B. Ascher
author_facet Malancha Karmakar
Vittoria Cicaloni
Carlos H.M. Rodrigues
Ottavia Spiga
Annalisa Santucci
David B. Ascher
author_sort Malancha Karmakar
collection DOAJ
description Alkaptonuria (AKU), a rare genetic disorder, is characterized by the accumulation of homogentisic acid (HGA) in the body. Affected individuals lack functional levels of an enzyme required to breakdown HGA. Mutations in the homogentisate 1,2-dioxygenase (HGD) gene cause AKU and they are responsible for deficient levels of functional HGD, which, in turn, leads to excess levels of HGA. Although HGA is rapidly cleared from the body by the kidneys, in the long term it starts accumulating in various tissues, especially cartilage. Over time (rarely before adulthood), it eventually changes the color of affected tissue to slate blue or black. Here we report a comprehensive mutation analysis of 111 pathogenic and 190 non-pathogenic HGD missense mutations using protein structural information. Using our comprehensive suite of graph-based signature methods, mCSM complemented with sequence-based tools, we studied the functional and molecular consequences of each mutation on protein stability, interaction and evolutionary conservation. The scores generated from the structure and sequence-based tools were used to train a supervised machine learning algorithm with 89% accuracy. The empirical classifier was used to generate the variant phenotype for novel HGD missense mutations. All this information is deployed as a user friendly freely available web server called HGDiscovery (https://biosig.lab.uq.edu.au/hgdiscovery/).
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spelling doaj.art-09d4b2fbbc3e4c9c8c87bcee86a8dfe22022-12-22T03:02:05ZengElsevierCurrent Research in Structural Biology2665-928X2022-01-014271277HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenaseMalancha Karmakar0Vittoria Cicaloni1Carlos H.M. Rodrigues2Ottavia Spiga3Annalisa Santucci4David B. Ascher5Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, AustraliaComputational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, ItalyComputational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia; School of Chemistry and Molecular Biology, University of Queensland, Brisbane, Queensland, AustraliaDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, ItalyDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, ItalyComputational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia; School of Chemistry and Molecular Biology, University of Queensland, Brisbane, Queensland, Australia; Corresponding author. Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, AustraliaAlkaptonuria (AKU), a rare genetic disorder, is characterized by the accumulation of homogentisic acid (HGA) in the body. Affected individuals lack functional levels of an enzyme required to breakdown HGA. Mutations in the homogentisate 1,2-dioxygenase (HGD) gene cause AKU and they are responsible for deficient levels of functional HGD, which, in turn, leads to excess levels of HGA. Although HGA is rapidly cleared from the body by the kidneys, in the long term it starts accumulating in various tissues, especially cartilage. Over time (rarely before adulthood), it eventually changes the color of affected tissue to slate blue or black. Here we report a comprehensive mutation analysis of 111 pathogenic and 190 non-pathogenic HGD missense mutations using protein structural information. Using our comprehensive suite of graph-based signature methods, mCSM complemented with sequence-based tools, we studied the functional and molecular consequences of each mutation on protein stability, interaction and evolutionary conservation. The scores generated from the structure and sequence-based tools were used to train a supervised machine learning algorithm with 89% accuracy. The empirical classifier was used to generate the variant phenotype for novel HGD missense mutations. All this information is deployed as a user friendly freely available web server called HGDiscovery (https://biosig.lab.uq.edu.au/hgdiscovery/).http://www.sciencedirect.com/science/article/pii/S2665928X22000241AlkaptonuriaStructural bioinformaticsMachine learningPrecision medicineRare genetic disorder
spellingShingle Malancha Karmakar
Vittoria Cicaloni
Carlos H.M. Rodrigues
Ottavia Spiga
Annalisa Santucci
David B. Ascher
HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
Current Research in Structural Biology
Alkaptonuria
Structural bioinformatics
Machine learning
Precision medicine
Rare genetic disorder
title HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
title_full HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
title_fullStr HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
title_full_unstemmed HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
title_short HGDiscovery: An online tool providing functional and phenotypic information on novel variants of homogentisate 1,2- dioxigenase
title_sort hgdiscovery an online tool providing functional and phenotypic information on novel variants of homogentisate 1 2 dioxigenase
topic Alkaptonuria
Structural bioinformatics
Machine learning
Precision medicine
Rare genetic disorder
url http://www.sciencedirect.com/science/article/pii/S2665928X22000241
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