Junqiu Wu
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 Junqiu Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Junqiu Wu's perspective
Ordered by how strongly the researchers Junqiu Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- The penultimate rotamer library
- Protein Structure Prediction Using Rosetta
- Prediction of protein side-chain rotamers from a backbone-dependent rotamer library: a new homology modeling tool.
- Improved methods for building protein models in electron density maps and the location of errors in these models.
- Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
- Human-level control through deep reinforcement learning
- Rotamer libraries in the 21st century.
- Deep Learning
- The Uppsala Electron-Density Server.
- A graph‐theory algorithm for rapid protein side‐chain prediction (Protein Science)
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