Che Yang

Molecular Biology · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Che Yang trusts

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

  1. David Baker (in Molecular Biology)

Papers from Che Yang's perspective

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

  1. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
  2. Kemp elimination catalysts by computational enzyme design
  3. Native protein sequences are close to optimal for their structures.
  4. The Rosetta all-atom energy function for macromolecular modeling and design
  5. Highly accurate protein structure prediction with AlphaFold
  6. Amino acid substitution matrices from protein blocks.
  7. Simultaneous optimization of biomolecular energy function on features from small molecules and macromolecules
  8. De Novo Enzyme Design Using Rosetta3 (PLoS ONE)
  9. Global analysis of protein folding using massively parallel design, synthesis, and testing
  10. Improvements to Robotics-Inspired Conformational Sampling in Rosetta

Their papers