Kun-Sop Han

Molecular Biology · 2019

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 Kun-Sop Han trusts overall

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

  1. Björn Wallner
  2. Arne Elofsson

Papers from Kun-Sop Han's perspective

Ordered by how strongly the researchers Kun-Sop Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. TM-align: a protein structure alignment algorithm based on the TM-score
  2. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
  3. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
  4. Can correct protein models be identified?
  5. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
  6. ResQ: An approach to unified estimation of B-factor and residue-specific error in protein structure prediction
  7. Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
  8. SWISS-MODEL: homology modelling of protein structures and complexes
  9. Methods for estimation of model accuracy in CASP12
  10. Improved model quality assessment using ProQ2

Their papers