40 citations · 44 across the 3 of their papers we have counts for
3 papers
physics.bio-ph2022★ 40 cited
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 from the pre…
physics.bio-ph2022★ 2 cited
Learning Correlations between Internal Coordinates to improve 3D Cartesian Coordinates for Proteins
Jie Li, Oufan Zhang, Seokyoung Lee +5
We consider a generic representation problem of internal coordinates (bond lengths, valence angles, and dihedral angles) and their transformation to 3-dimensional Cartesian coordin…
physics.bio-ph2019★ 2 cited
Extended Experimental Inferential Structure Determination Method for Evaluating the Structural Ensembles of Disordered Protein States
James Lincoff, Mickael Krzeminski, Mojtaba Haghighatlari +5
Characterization of proteins with intrinsic or unfolded state disorder comprises a new frontier in structural biology, requiring the characterization of diverse and dynamic structu…