UdonPred Data

Datasets used to train the UdonPred Method.
UdonPred is a predictive model for protein disorder, leveraging embeddings from the pre-trained protein language model ProstT5. This model variant has been trained using a novel dataset of nuclear magnetic resonance (NMR) spectroscopy chemical shifts from the Biological Magnetic Resonance Data Bank (BMRB). It employs the TriZOD scoring scheme, which quantifies disorder by assigning G-scores that identify deviations from the chemical shifts expected in random coil configurations. UdonPred was subsequently fine-tuned using data from the DisProt database.
UdonPred is available at: https://github.com/JSchlensok/udonpred
TriZOD G-Scores method is available at: https://github.com/MarkusHaak/trizod