BINF301 Machine Learning for Systems Biology
  1. Neural networks
  2. Path-breaking paper
  • Home
  • Introduction to Julia
  • Cluster analysis
    • Path-breaking paper
    • Theory
    • Implementation
  • Statistical significance
    • Path-breaking paper
    • Theory
    • Implementation
  • Regularized regression
    • Path-breaking paper
    • Theory
    • Implementation
  • Dimensionality reduction
    • Path-breaking paper
    • Theory (PCA)
    • Theory (t-SNE, UMAP)
    • Implementation
  • Causal inference
    • Path-breaking paper
    • Theory
    • Implementation
  • Bayesian networks
    • Path-breaking paper
    • Theory
  • Gaussian processes
    • Path-breaking paper
    • Theory
    • Implementation
  • Neural networks
    • Path-breaking paper
    • Theory
  • Appendix

On this page

  • Motivation
  • Questions for discussion
  • Test of time
  1. Neural networks
  2. Path-breaking paper

Path-breaking paper: Prediction of Protein Secondary Structure at Better than 70% Accuracy

Path-breaking paper

Rost B and Sander C. Prediction of protein secondary structure at better than 70% accuracy. Journal of Molecular Biology 232: 584-599 (1993).

Test of time paper

Jumper J, et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

Test of time paper

Baek M, et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science 373:871-876 (2021).

Motivation

Questions for discussion

Test of time

Implementation
Theory