Liang Dai

Molecular Biology · with Yang · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 53 citations into it
• Materials Chemistry — 37 citations into it
• Computational Biology & Bioinformatics — 10 citations into it

Whom Liang Dai trusts overall

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

1. Brian Kuhlman
2. Yang Zhang
3. David Baker
4. Burkhard Rost
5. Stephen L. Mayo
6. Jeffrey Skolnick
7. G. Dantas
8. Eshel Faraggi
9. Hongyi Zhou
10. Tanja Kortemme

Who trusts Liang Dai overall

1. Zhixiu Li
2. Yuedong Yang

Papers from Liang Dai's perspective

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

1. De novo protein design: fully automated sequence selection.
2. A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.
3. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
4. Native protein sequences are close to optimal for their structures.
5. An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes.
6. TM-align: a protein structure alignment algorithm based on the TM-score
7. Computational Protein Design with Explicit Consideration of Surface Hydrophobic Patches
8. De Novo Computational Design of Retro-Aldol Enzymes
9. High-resolution Structural and Thermodynamic Analysis of Extreme Stabilization of Human Procarboxypeptidase by Computational Protein Design
10. Protein Structure Prediction Using Rosetta

Their papers

• Energy functions in de novo protein design: current challenges and future prospects. (2013) — 78 citations
• Improving computational protein design by using structure-derived sequence profile (2010) — 25 citations