Ryan McHugh

Molecular Biology · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan McHugh trusts overall

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

  1. Kengo Sato
  2. Rodrigo Vargas Honorato
  3. Andrew M. Watkins
  4. Raphael J. L. Townshend
  5. Marc F. Lensink
  6. R. Rangan
  7. Rebecca F. Alford
  8. Michael Remmert
  9. Rhiju Das
  10. Manato Akiyama

Papers from Ryan McHugh's perspective

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

  1. Highly accurate protein structure prediction with AlphaFold
  2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  3. The Rosetta all-atom energy function for macromolecular modeling and design
  4. Faculty Opinions recommendation of Accurate prediction of protein structures and interactions using a three-track neural network.
  5. Improved protein structure prediction using predicted interresidue orientations
  6. Macromolecular modeling with rosetta.
  7. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  8. FARFAR2: Improved de novo Rosetta prediction of complex global RNA folds
  9. Uni-Mol: A Universal 3D Molecular Representation Learning Framework
  10. PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences

Their papers