Kathryn Tunyasuvunakool
Nature · 2021–2024
A researcher in the Science corpus: 9 papers; trusts 0 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Whom Kathryn Tunyasuvunakool trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Evans
- Alexander Pritzel
- Douglas E. V. Pires
- Tim Green
- Michel van Kempen
- Jonas Adler
- Yang Zhang
- John M. Jumper
Who trusts Kathryn Tunyasuvunakool overall
- Hannah K. Wayment-Steele
- Devlina Chakravarty
- Adedolapo M. Ojoawo
- Sergey Ovchinnikov
- Mark van Breugel
- L. Jovine
- Zhuoran Qiao
- Carter J. Wilson
- Milot Mirdita
- Mihaly Varadi
Papers from Kathryn Tunyasuvunakool's perspective
Ordered by how strongly the researchers Kathryn Tunyasuvunakool trusts endorse each paper. Same corpus, a different order for every researcher.
- Improved protein structure prediction using potentials from deep learning
- Attention is All you Need (Neural Information Processing Systems)
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Highly accurate protein structure prediction with AlphaFold
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
- Highly accurate protein structure prediction for the human proteome
- Self-Training With Noisy Student Improves ImageNet Classification
- Hidden Markov model speed heuristic and iterative HMM search procedure
- Clustering huge protein sequence sets in linear time
Their papers
- Highly accurate protein structure prediction with AlphaFold (2021) — 37,531 citations
- Highly accurate protein structure prediction for the human proteome (2021) — 2,524 citations
- Protein complex prediction with AlphaFold-Multimer (2021) — 3,230 citations
- AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021) — 3,102 citations
- AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences (2023) — 1,666 citations
- The prospects and opportunities of protein structure prediction with AI (2022) — 24 citations
- Accurate structure prediction of biomolecular interactions with AlphaFold 3 (2024) — 12,322 citations
- Structure of the decoy module of human glycoprotein 2 and uromodulin and its interaction with bacterial adhesin FimH (2022) — 24 citations
- Applying and improving AlphaFold at CASP14 (2021) — 354 citations