Jie Fan

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 Jie Fan trusts

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

1. Roland L. Dunbrack (in Molecular Biology)

Papers from Jie Fan's perspective

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

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

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