Isak Johansson-Åkhe
Molecular Biology · 2021
A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 25 citations into it; #8,232 of 17,773 by trust here, #17,476 by citations
- Computational Biology & Bioinformatics — 12 citations into it
- Materials Chemistry — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it; #7,090 of 12,182 by trust here, #11,462 by citations
- Artificial Intelligence — 5 citations into it
Whom Isak Johansson-Åkhe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sankar Basu
- Yang Zhang
- David T. Jones
- Jesse Davis
- Takaya Saito
- Barak Raveh
- Brian G. Pierce
- Dima Kozakov
- Balaji Lakshminarayanan
- R. D. Schaeffer
Who trusts Isak Johansson-Åkhe overall
Papers from Isak Johansson-Åkhe's perspective
Ordered by how strongly the researchers Isak Johansson-Åkhe 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
- Attention is All you Need (Neural Information Processing Systems)
- Highly accurate protein structure prediction for the human proteome
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Improving peptide-protein docking with AlphaFold-Multimer using forced sampling (2021) — 130 citations