Julia M Apitz

Molecular Biology · 2023

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

Subfields

Whom Julia M Apitz trusts

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

  1. Kathryn Tunyasuvunakool (in Molecular Biology)
  2. Alexandros Stamatakis (in Molecular Biology)

Papers from Julia M Apitz's perspective

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

  1. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
  2. High‐accuracy protein structure prediction in CASP14
  3. Visualizing Data using t-SNE
  4. Correlation of co-ordinated amino acid substitutions with function in viruses related to tobacco mosaic virus.
  5. ColabFold: making protein folding accessible to all
  6. A minimal sequence code for switching protein structure and function
  7. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  8. Using AlphaFold to predict the impact of single mutations on protein stability and function
  9. Coevolutionary signals across protein lineages help capture multiple protein conformations
  10. Origins of coevolution between residues distant in protein 3D structures

Their papers