Rapid prediction of protein natural frequencies using graph neural networks

Abstract

We present a computational framework based on graph neural networks (GNNs) to predict the natural frequencies of proteins from primary amino acid sequences and contact/distance maps.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2022
Source ID
10.1039/d1dd00007a

Entities

People

  • Kai Guo
  • Markus J. Buehler

Organizations

  • Army Research Office
  • Massachusetts Institute of Technology
  • National Institutes of Health
  • Office of Naval Research

Tags

Fields of Study

  • Computer science

Readers

  • Breast cancer cell signaling and growth regulation.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks