Lisha Ye

Molecular Biology · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lisha Ye trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yang Zhang
  2. Johannes Söding

Papers from Lisha Ye's perspective

Ordered by how strongly the researchers Lisha Ye trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Highly accurate protein structure prediction with AlphaFold
  2. LGA: a method for finding 3D similarities in protein structures
  3. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  4. Scoring function for automated assessment of protein structure template quality
  5. Protein Structure Determination using Metagenome sequence data
  6. Protein homology detection by HMM?CHMM comparison
  7. How significant is a protein structure similarity with TM-score = 0.5?
  8. Protein contact prediction using metagenome sequence data and residual neural networks
  9. ‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures (Nature)
  10. The DISOPRED server for the prediction of protein disorder

Their papers