Modelling eNvironment for Isoforms (MoNvIso): A general platform to predict structural determinants of protein isoforms in genetic diseases
Frontiers in Chemistry, vol. 10, pp. 1059593
Abstract
The seamless integration of human disease-related mutation data into protein structures is an essential component of any attempt to correctly assess the impact of the mutation. The key step preliminary to any structural modelling is the identification of the isoforms onto which mutations should be mapped due to there being several functionally different protein isoforms from the same gene. To handle large sets of data coming from omics techniques, this challenging task needs to be automatized. Here we present the MoNvIso (Modelling eNvironment for Isoforms) code, which identifies the most useful isoform for computational modelling, balancing the coverage of mutations of interest and the availability of templates to build a structural model of both the wild-type isoform and the related variants.
Authors 8
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Forschungszentrum Jülich · University of Cagliari
Affiliation as printed
Department of Physics, University of Cagliari, Monserrato (CA), Italy
Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
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Affiliation as printed
Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
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University of Verona · Forschungszentrum Jülich
Affiliation as printed
Department of Biotechnology, University of Verona, Verona, Italy
Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
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Icahn School of Medicine at Mount Sinai
Affiliation as printed
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, United States
The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Affiliation as printed
The School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
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Forschungszentrum Jülich · Simons Initiative for the Developing Brain · University of Edinburgh
Affiliation as printed
Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, United Kingdom
The School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
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Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University
Affiliation as printed
Department of Physics, RWTH Aachen University, Aachen, Germany
Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
JARA-Institute: Molecular Neuroscience and Neuroimaging, Institute for Neuroscience and Medicine INM-11/JARA-BRAIN Institute JBI-2, Forschungszentrum Jülich GmbH, Jülich, Germany
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Paolo Ruggerone corresponding
Affiliation as printed
Department of Physics, University of Cagliari, Monserrato (CA), Italy
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