Learning to Evolve Structural Ensembles of Unfolded and Disordered Proteins Using Experimental Solution Data

Oufan Zhang, Mojtaba Haghighatlari, Jie Li +5

We have developed a Generative Recurrent Neural Networks (GRNN) that learns the probability of the next residue torsions $X_{i+1}=[{\varphi }_{i+1},{\psi }_{i+1},{\omega }_{i+1},{\chi }_{i+1}]$ from the pre…