Kun-Yi Hsin

Molecular Biology · 2008–2013

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun-Yi Hsin trusts overall

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

  1. David Weininger
  2. Pedro J. Ballester
  3. Renxiao Wang
  4. Noel M. O'Boyle
  5. John B. O. Mitchell
  6. Arthur J. Olson
  7. Peter W. Rose
  8. Luhua Lai
  9. Dariusz M Plewczynski
  10. Michaela S. Banck

Papers from Kun-Yi Hsin's perspective

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

  1. Further development and validation of empirical scoring functions for structure-based binding affinity prediction
  2. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
  3. A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking
  4. Open Babel: An open chemical toolbox
  5. A quantitative analysis of kinase inhibitor selectivity (Nature Biotechnology)
  6. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
  7. The efficiency of multi-target drugs: the network approach might help drug design. (TIPS - Trends in Pharmacological Sciences)
  8. Molecular mechanisms of cardiotoxicity of tyrosine kinase inhibition (Nature Reviews. Cancer)
  9. The RCSB Protein Data Bank: new resources for research and education (Nucleic Acids Res.)
  10. Using process diagrams for the graphical representation of biological networks (Nature Biotechnology)

Their papers