Masha Karelina

Computational Theory and Mathematics · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masha Karelina 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
  8. Helen M. Berman
  9. Richard A. Friesner
  10. Jerome H. Friedman

Papers from Masha Karelina's perspective

Ordered by how strongly the researchers Masha Karelina 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. Highly accurate protein structure prediction for the human proteome
  5. UCSF Chimera—A visualization system for exploratory research and analysis
  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