Joseph J. Noh

Computational Theory and Mathematics · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph J. Noh trusts overall

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

  1. Luca Pinzi
  2. Trevor J. Hastie
  3. L. Ferreira
  4. Hahnbeom Park
  5. Vignir Ísberg
  6. Noel M. O'Boyle
  7. Eric F. Pettersen

Papers from Joseph J. Noh's perspective

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

  1. Highly accurate protein structure prediction with AlphaFold
  2. The Protein Data Bank
  3. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
  4. UCSF Chimera—A visualization system for exploratory research and analysis
  5. Highly accurate protein structure prediction for the human proteome
  6. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
  7. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
  8. The PyMOL Molecular Graphics System
  9. Critical Assessment of Methods of Protein Structure Prediction (CASP) – Round XIV
  10. Molecular Docking and Structure-Based Drug Design Strategies

Their papers