Wenkai Wang

Molecular Biology · with Peng · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 89 citations into it
• Computational Biology & Bioinformatics — 51 citations into it
• Materials Chemistry — 38 citations into it

Whom Wenkai Wang trusts overall

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

1. Yang Zhang
2. Johannes Söding
3. Ivan V. Anishchenko
4. Adam T. Zemla
5. Jeffrey Skolnick
6. Jinbo Xu

Papers from Wenkai Wang's perspective

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

1. Highly accurate protein structure prediction with AlphaFold
2. Scoring function for automated assessment of protein structure template quality
3. Protein Structure Determination using Metagenome sequence data
4. Attention is All you Need (Neural Information Processing Systems)
5. Protein Structure Prediction Using Rosetta
6. De novo protein design by deep network hallucination
7. How significant is a protein structure similarity with TM-score = 0.5?
8. Protein contact prediction using metagenome sequence data and residual neural networks
9. ‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures (Nature)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• trRosettaRNA: automated prediction of RNA 3D structure with transformer network (2023) — 202 citations
• Single-sequence protein structure prediction using supervised transformer protein language models (2022) — 133 citations
• The trRosetta server for fast and accurate protein structure prediction (2021) — 596 citations