Jürgen Jänes
Molecular Biology · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 71 citations into it
- Materials Chemistry — 31 citations into it
Whom Jürgen Jänes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jürgen Jänes's perspective
Ordered by how strongly the researchers Jürgen Jänes trusts endorse each paper. Same corpus, a different order for every researcher.
- TM-align: a protein structure alignment algorithm based on the TM-score
- Improved protein structure prediction using potentials from deep learning
- End-to-end differentiable learning of protein structure
- Improved protein structure prediction using predicted interresidue orientations
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- Comparative protein modelling by satisfaction of spatial restraints.
- Identification of direct residue contacts in protein–protein interaction by message passing
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
- UCSF Chimera—A visualization system for exploratory research and analysis
- Phaser crystallographic software
Their papers
- A structural biology community assessment of AlphaFold2 applications (2021) — 578 citations
- Clustering predicted structures at the scale of the known protein universe (2023) — 308 citations