Mingzhen Zhang
Molecular Biology · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 38 citations into it
- Materials Chemistry — 22 citations into it
Whom Mingzhen Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mingzhen Zhang's perspective
Ordered by how strongly the researchers Mingzhen Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Protein Structure with a Differentiable Simulator
- Principles that govern the folding of protein chains.
- Next-Generation Machine Learning for Biological Networks. (Cell)
- Machine learning in protein structure prediction.
- Highly accurate protein structure prediction with AlphaFold
- Attention is All you Need (Neural Information Processing Systems)
- The coming of age of de novo protein design
- Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- TM-align: a protein structure alignment algorithm based on the TM-score
Their papers
- AlphaFold, Artificial Intelligence (AI), and Allostery (2022) — 142 citations