A. Kang

Molecular Biology · with Baker · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kang trusts

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

  1. David Baker (in Molecular Biology)
  2. Yang Zhang (in Molecular Biology)
  3. Jeffrey Skolnick (in Molecular Biology)

Papers from A. Kang's perspective

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

  1. Highly accurate protein structure prediction with AlphaFold
  2. High-resolution structure of a retroviral protease folded as a monomer
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Crystallography & NMR system: A new software suite for macromolecular structure determination.
  5. De novo protein design by deep network hallucination
  6. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  7. The Rosetta all-atom energy function for macromolecular modeling and design
  8. Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks
  9. Phaser crystallographic software
  10. Improved protein structure prediction using predicted interresidue orientations

Their papers