Prediction of Aggregation Prone Regions in Proteins Using Deep Neural Networks and Their Suppression by Computational Design
Vojtěch Cima, Antonín Kunka, Joan Planas-Iglesias, Ekaterina Grakova, Martin Havlásek, Madhumalar Subramanian, Michal Běloch, Martin Marek, Kateřina Slaninová, Jiřı́ Damborský, Zbyněk Prokop, David Bednář, Jan Martinovič
This paper develops a deep neural network predictor, AggreProt, to identify aggregation-prone regions in proteins and demonstrates its utility in designing mutations to suppress aggregation.
bioRxiv · Mar 6, 2024 · PreprintBioinformatics