Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.01 vteřin. 
Prediction of the effect of mutations on protein stability
Rosinská, Monika ; Martínek, Tomáš (oponent) ; Musil, Miloš (vedoucí práce)
The aim of this thesis is to develop a classification model for protein mutations, distinguishing between stabilizing and destabilizing variants. The model was implemented using a convolutional neural network architecture, utilising the ResNet50V2 pre-trained neural network and a dataset sourced from FireProtDB. With an accuracy of 0.7, the model effectively predicts the impact of mutations on protein stability. Furthemore, it can provide a confidence measure for its predictions.

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