Stephanie S. Kim

Molecular Biology · 2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephanie S. Kim trusts overall

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

  1. Liisa Holm
  2. Sean R. Eddy
  3. Michael Farrar
  4. Jeffrey Skolnick
  5. Yang Zhang
  6. Ilya N. Shindyalov
  7. Piotr Rotkiewicz
  8. Milot Mirdita

Papers from Stephanie S. Kim's perspective

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

  1. Basic local alignment search tool.
  2. Highly accurate protein structure prediction with AlphaFold
  3. Protein structure alignment by incremental combinatorial extension (CE) of the optimal path.
  4. TM-align: a protein structure alignment algorithm based on the TM-score
  5. Advances and pitfalls of protein structural alignment. (Current Opinion in Structural Biology)
  6. Striped Smith-Waterman speeds database searches six times over other SIMD implementations (Bioinform.)
  7. NGL viewer: web‐based molecular graphics for large complexes
  8. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  9. HOMSTRAD: A database of protein structure alignments for homologous families
  10. RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology,…

Their papers