Jian Zhan
Molecular Biology · with Zhou · 2013–2021
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 70 citations into it
- Materials Chemistry — 43 citations into it
- Computational Biology & Bioinformatics — 11 citations into it
- Computational Chemistry & Drug Discovery — 8 citations into it
Whom Jian Zhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Kuhlman
- Eshel Faraggi
- David Baker
- Rhiju Das
- Andrew M. Watkins
- Yaoqi Zhou
- Yuedong Yang
- G. Dantas
- Hongyi Zhou
- Yan Zhao
Papers from Jian Zhan's perspective
Ordered by how strongly the researchers Jian Zhan 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.
- Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
- Atomic accuracy in predicting and designing non-canonical RNA structure
- Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
- Effective energy function for proteins in solution
- The Rosetta all-atom energy function for macromolecular modeling and design
- High-resolution Structural and Thermodynamic Analysis of Extreme Stabilization of Human Procarboxypeptidase by Computational Protein Design
- De Novo Computational Design of Retro-Aldol Enzymes
Their papers
- Energy functions in de novo protein design: current challenges and future prospects. (2013) — 78 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
- Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement (2021) — 59 citations