Descrição:
The dataset is composed of three-dimensional structural models of wild-type and mutated proteins that correspond to genetic variants identified in Brazilian patients diagnosed with Ménière's Disease. This work was conducted within the thesis "Identification of the molecular basis of Meniere's Disease" as a collaborative effort between the Laboratory of Human Molecular Genetics at CBMEG/UNICAMP and the Meniere's Disease Neuroscience Laboratory at the Kolling Institute, University of Sydney. Subsequent to the identification of genetic variants, the subsequent analytical step consisted of modelling the three-dimensional structure of the selected proteins using bioinformatic software to elucidate the potential structural impact of these variants on the translated proteins. As the genetic material was extracted from blood samples, the modelling is not tissue-specific and was performed using the canonical protein sequences obtained from the UniProt database. The selection between different structural predictions for each model was based on the higher average scores obtained through established quality control validations.