python run_elec.py --data elec --name ddpm_c --beta1 0.01 --beta2 15 --scale 200 --epochs 40 --batch 64 Fast sampling option We add a conditional ODE sampler for acceleration of the prediction process. It takes only around 20 steps for sampling and it can increase the prediciton ...
To computationally forecast the spectrum of protein disorder in the most comprehensive manner possible, we constructed the sequence-based protein order/disorder predictor ODiNPred, trained on an expanded version of CheZOD. ODiNPred applies a deep neural network comprising 157 unique sequence features to...
Case 1: The human oncogene protein p53 is involved in numerous protein–protein interactions, which is reflected in its large span of conformations40. Recently, we analyzed disorder predictions, disorder annotations and Z-scores for p53, and found that disorder prediction was challenging10. With ODi...
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