MiniFold
MiniFold copied to clipboard
MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
Greetings. I have the following error when I try to load the "resnet_1d_angels.h5" that is given in the repository: ```model = load_model("resnet_1d_angles.h5", custom_objects={'custom_mse_mae': custom_mse_mae})``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call...
Hi @hypnopump I am learning a bit about deep learning since I want to try to apply it to a particular study that I am working on. I'm just getting...
I am running the README.md steps on the Intel DevCloud. I generated full_under_200.txt both with the julia script get_proteins_under_200aa.jl and julia_get_proteins_under_200aa.ipynb for good measure. A diff says files are different...
I'm a newbie in this environment of deep learning and I'm just trying to replicate the results you got from this code using Google Colab. Some issues I tried to...
It would be useful to use Physicochemical properties beyond Van der Waals radius of AAs as input sucha as: - surface exposure - predicted solvent accessibility - polarity - isoelectric...
Training with 64x64 crops would erase the need for a 200 embedding of all proteins and would erase also noisy predictions since there would be an averaging at prediction time
Hello, Nice work ! In the notebook predicting_distances, Why did you want to predict classes of distances, instead of distances values directly ?