Zhixiu Li
Molecular Biology · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it; #9,434 of 17,773 by trust here, #7,205 by citations
- Materials Chemistry — 51 citations into it; #5,766 of 11,513 by trust here, #7,310 by citations
- Computational Biology & Bioinformatics — 13 citations into it
- Computational Chemistry & Drug Discovery — 9 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Zhixiu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Kuhlman
- Eshel Faraggi
- Yaoqi Zhou
- Hongyi Zhou
- David Baker
- Yuedong Yang
- Hongyi Zhou
- G. Dantas
- Tuo Zhang
- Stephen L. Mayo
Who trusts Zhixiu Li overall
- Zhangyang Gao
- Bowen Jing
- Chloe Hsu
- Jack B. Maguire
- Jack Hanson
- Cheng Tan
- Yuedong Yang
- Stephan Eismann
- Yifei Qi
- Robert Verkuil
Papers from Zhixiu Li's perspective
Ordered by how strongly the researchers Zhixiu Li trusts endorse each paper. Same corpus, a different order for every researcher.
- De novo protein design: fully automated sequence selection.
- A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.
- Native protein sequences are close to optimal for their structures.
- Effective energy function for proteins in solution
- Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
- De Novo Computational Design of Retro-Aldol Enzymes
- High-resolution Structural and Thermodynamic Analysis of Extreme Stabilization of Human Procarboxypeptidase by Computational Protein Design
- Rationalization of the effects of mutations on peptide andprotein aggregation rates (Nature)
- Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
- Computational Protein Design with Explicit Consideration of Surface Hydrophobic Patches
Their papers
- Energy functions in de novo protein design: current challenges and future prospects. (2013) — 78 citations
- Intrinsically Semi-disordered State and Its Role in Induced Folding and Protein Aggregation (2013) — 62 citations
- Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment‐based local and energy‐based nonlocal profiles (2014) — 84 citations
- SPIN2: Predicting sequence profiles from protein structures using deep neural networks (2018) — 101 citations