Ziv Ben-Aharon

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.

Papers from Ziv Ben-Aharon's perspective

Ordered by how strongly the researchers Ziv Ben-Aharon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Highly accurate protein structure prediction for the human proteome
2. Highly accurate protein structure prediction with AlphaFold
3. Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
4. lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
5. DockQ: A Quality Measure for Protein-Protein Docking Models
6. Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment
7. ECOD: An Evolutionary Classification of Protein Domains
8. Sub‐angstrom modeling of complexes between flexible peptides and globular proteins
9. Matplotlib: A 2D Graphics Environment
10. 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