Gui-jun Zhang

Molecular Biology · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gui-jun Zhang trusts overall

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

  1. Sheng Wang
  2. Yang Zhang
  3. Jinbo Xu
  4. Jeffrey Skolnick
  5. Dong Xu
  6. S. Parasuraman
  7. The Uniprot Consortium
  8. Carol A. Rohl
  9. David T. Jones
  10. Jianzhu Ma

Papers from Gui-jun Zhang's perspective

Ordered by how strongly the researchers Gui-jun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Protein data bank
  2. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
  3. BMC Bioinformatics
  4. Predicting protein residue-residue contacts using deep networks and boosting
  5. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
  6. An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction.
  7. Analysis of deep learning methods for blind protein contact prediction in CASP12
  8. Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
  9. Distance-based protein folding powered by deep learning
  10. MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins

Their papers