Tomer Tsaban
2021
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Tomer Tsaban trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sankar Basu
- Milot Mirdita
- Barak Raveh
- Dima Kozakov
- Zuguang Gu
- Valerio Mariani
- Dominik Gront
- Sergey Ovchinnikov
- Björn Wallner
- Nir London
Who trusts Tomer Tsaban overall
Papers from Tomer Tsaban's perspective
Ordered by how strongly the researchers Tomer Tsaban trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction for the human proteome
- Highly accurate protein structure prediction with AlphaFold
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment
- DockQ: A Quality Measure for Protein-Protein Docking Models
- ECOD: An Evolutionary Classification of Protein Domains
- Sub‐angstrom modeling of complexes between flexible peptides and globular proteins
- ColabFold: making protein folding accessible to all
- Using AlphaFold to predict the impact of single mutations on protein stability and function
Their papers
- Harnessing protein folding neural networks for peptide–protein docking (2021) — 299 citations