Sheng Wang

Molecular Biology · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Wang trusts overall

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

  1. Marc-André Parisien
  2. Johannes Rinn

Papers from Sheng Wang's perspective

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

  1. The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data
  2. ModeRNA: a tool for comparative modeling of RNA 3D structure
  3. Highly accurate protein structure prediction with AlphaFold
  4. Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filters. (RNA: A publication of the RNA Society)
  5. The Amber biomolecular simulation programs
  6. Accurate RNA 3D structure prediction using a language model-based deep learning approach
  7. Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement
  8. Genome regulation by long noncoding RNAs (Annual Review of Biochemistry)
  9. Recent advances in RNA structurome
  10. Atomic accuracy in predicting and designing non-canonical RNA structure

Their papers