Yong Wang

Molecular Biology · with Boomsma · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 31 citations into it
• Computational Biology & Bioinformatics — 17 citations into it
• Materials Chemistry — 13 citations into it

Whom Yong Wang trusts overall

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

1. Hetunandan Kamisetty
2. K. Lindorff‐Larsen
3. Stefano Piana
4. Liisa Holm
5. Michael Remmert
6. Sivaraman Balakrishnan
7. Gareth A. Tribello

Papers from Yong Wang's perspective

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

1. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
2. Learning generative models for protein fold families
3. Protein structure determination by combining sparse NMR data with evolutionary couplings
4. Structure of a functional amyloid protein subunit computed using sequence variation.
5. Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
6. TALOS+: A hybrid method for predicting protein backbone torsion angles from NMR chemical shifts (Journal of Biomolecular NMR)
7. Dali server: conservation mapping in 3D
8. Alternate states of proteins revealed by detailed energy landscape mapping
9. Systematic Validation of Protein Force Fields against Experimental Data (PLoS ONE)
10. How robust are protein folding simulations with respect to force field parameterization? (Biophysical Journal)

Their papers

• Structure of a functional amyloid protein subunit computed using sequence variation. (2015) — 99 citations
• Structure of the Bacterial Cytoskeleton Protein Bactofilin by NMR Chemical Shifts and Sequence Variation. (2016) — 17 citations