The application of deep learning ideas to the fields of computer vision, speach recognition and medical imaging saw a huge success. However, the data in these fields fits the differentiable transformations used in DL rather well. This is however, no the case of molecular data. This project is focused on development of the protein folding algorithm that uses recent ideas in DL. During the span of the project we are constructing the preprocessed datasets and library of differentiable transformations of protein conformation descriptors to lower the entry barrier for ML researchers.
The library contains such differentiable layers with PyTorch interface as:
The next CASP competition will start at the end of May 2018