Tanita Wein
Molecular Biology · 2023
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 30 citations into it
- Materials Chemistry — 8 citations into it
Whom Tanita Wein trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey Skolnick (in Molecular Biology)
- Johannes Söding (in Molecular Biology)
- Martin Steinegger (in Molecular Biology)
Papers from Tanita Wein's perspective
Ordered by how strongly the researchers Tanita Wein trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction with AlphaFold
- TM-align: a protein structure alignment algorithm based on the TM-score
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
- Fast procedure for reconstruction of full-atom protein models from reduced representations
- Evolutionary-scale prediction of atomic level protein structure with a language model
- ECOD: An Evolutionary Classification of Protein Domains
- Clustering huge protein sequence sets in linear time
- Highly accurate protein structure prediction for the human proteome
- BLAST+: architecture and applications
- Pfam: The protein families database in 2021 (Nucleic Acids Res.)
Their papers
- Clustering predicted structures at the scale of the known protein universe (2023) — 308 citations