John O Nealon

Molecular Biology · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John O Nealon trusts overall

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

  1. Liam J. McGuffin
  2. Daniel B. Roche
  3. Maria T. Buenavista

Papers from John O Nealon's perspective

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

  1. Improvement of 3D protein models using multiple templates guided by single-template model quality assessment
  2. ModFOLD6: an accurate web server for the global and local quality estimation of 3D protein models
  3. FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins
  4. Methods for estimation of model accuracy in CASP12
  5. Evaluation of the template-based modeling in CASP12
  6. ReFOLD: a server for the refinement of 3D protein models guided by accurate quality estimates
  7. Assessment of template based protein structure predictions in CASP9
  8. Assessment of model accuracy estimations in CASP12
  9. The Protein Data Bank
  10. Assessment of ligand binding residue predictions in CASP9

Their papers