Jian Wang

Molecular Biology · with Dokholyan · 2019–2022

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

Subfields

Whom Jian Wang trusts overall

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

  1. Feng Ding
  2. Shuangye Yin
  3. Zhihai Liu
  4. N. V. Dokholyan
  5. Helen M. Berman
  6. W. Arveson
  7. Jens Meiler
  8. John D. Westbrook
  9. J. DiMasi

Papers from Jian Wang's perspective

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

  1. The Protein Data Bank
  2. Improved protein structure prediction using potentials from deep learning
  3. A statistical test for conserved RNA structure shows lack of evidence for structure in lncRNAs (Nature Methods)
  4. Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families (Nucleic Acids Res.)
  5. MolProbity: More and better reference data for improved all‐atom structure validation
  6. The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data
  7. Automated 3D structure composition for large RNAs
  8. New metrics for comparing and assessing discrepancies between RNA 3D structures and models.
  9. RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme
  10. ModeRNA: a tool for comparative modeling of RNA 3D structure

Their papers