Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction

no code implementations • 2 Dec 2022 • Kuang Liu, Rajiv K. Kalia, Xinlian Liu, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta, Rafael Zamora-Resendizc

Machine learning (ML) is revolutionizing protein structural analysis, including an important subproblem of predicting protein residue contact maps, i. e., which amino-acid residues are in close spatial proximity given the amino-acid sequence of a protein.

Dynamic nuclear structure emerges from chromatin crosslinks and motors

no code implementations • 17 Aug 2020 • Kuang Liu, Alison E. Patteson, Edward J. Banigan, J. M. Schwarz

Experiments indicate that correlated chromosome dynamics and nuclear shape fluctuations arise from motor activity.