Yonglan Liu

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yonglan Liu trusts

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

  1. Mohammed Alquraishi (in Molecular Biology)

Papers from Yonglan Liu's perspective

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

  1. Learning Protein Structure with a Differentiable Simulator
  2. Principles that govern the folding of protein chains.
  3. Machine learning in protein structure prediction.
  4. Next-Generation Machine Learning for Biological Networks. (Cell)
  5. Highly accurate protein structure prediction with AlphaFold
  6. Attention is All you Need (Neural Information Processing Systems)
  7. The coming of age of de novo protein design
  8. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
  9. Protein 3D Structure Computed from Evolutionary Sequence Variation
  10. End-to-end differentiable learning of protein structure

Their papers