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.

A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification

no code implementations • 7 Feb 2018 • Thomas Corcoran, Rafael Zamora-Resendiz, Xinlian Liu, Silvia Crivelli

Convolutional Neural Network (CNN)-based machine learning systems have made breakthroughs in feature extraction and image recognition tasks in two dimensions (2D).

Anomaly Detection Benchmarking +2