Xiangyan Sun

Molecular Biology · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 13 citations into it

Whom Xiangyan Sun trusts overall

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

1. Roland L. Dunbrack
2. Shide Liang
3. Daniel Maturana

Papers from Xiangyan Sun's perspective

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

1. The penultimate rotamer library
2. Human-level control through deep reinforcement learning
3. Protein Structure Prediction Using Rosetta
4. Deep Learning
5. Improved methods for building protein models in electron density maps and the location of errors in these models.
6. Prediction of protein side-chain rotamers from a backbone-dependent rotamer library: a new homology modeling tool.
7. Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
8. Rotamer libraries in the 21st century.
9. The Uppsala Electron-Density Server.
10. Improved prediction of protein side-chain conformations with SCWRL 4

Their papers

• Prediction of amino acid side chain conformation using a deep neural network (2017) — 17 citations
• Chemi-net: a graph convolutional network for accurate drug property prediction (2018) — 31 citations