Minkyung Baek
Molecular Biology · 2016–2026
A researcher in the Science corpus: 23 papers; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 536 citations into it; #15,586 of 17,773 by trust here, #3,004 by citations
- Materials Chemistry — 268 citations into it; #9,921 of 11,513 by trust here, #4,696 by citations
- Computational Biology & Bioinformatics — 237 citations into it
- Computational Theory and Mathematics — 88 citations into it
- Computational Chemistry & Drug Discovery — 76 citations into it
- Evaluation & Benchmarks — 27 citations into it
- 3D Vision & Pose — 6 citations into it
Whom Minkyung Baek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc F. Lensink
- Andriy Kryshtafovych
- Kengo Sato
- Rodrigo Vargas Honorato
- Andrew M. Watkins
- Hahnbeom Park
- Jianyi Yang
- Johannes Söding
- Raphael J. L. Townshend
- Adam T. Zemla
Who trusts Minkyung Baek overall
Papers from Minkyung Baek's perspective
Ordered by how strongly the researchers Minkyung Baek trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- ImageNet classification with deep convolutional neural networks
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Long Short-Term Memory
- Improved protein structure prediction using predicted interresidue orientations
- Highly accurate protein structure prediction with AlphaFold
- ImageNet: A large-scale hierarchical image database
Their papers
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
- Computed structures of core eukaryotic protein complexes (2021) — 442 citations
- The challenge of modeling protein assemblies: the CASP12‐CAPRI experiment (2018) — 84 citations
- Deep learning methods for designing proteins scaffolding functional sites (2021) — 38 citations
- Scaffolding protein functional sites using deep learning (2022) — 414 citations
- Improved protein structure refinement guided by deep learning based accuracy estimation (2020) — 230 citations
- Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models (2022) — 200 citations
- Hallucinating symmetric protein assemblies (2022) — 221 citations
- Improving de novo protein binder design with deep learning (2022) — 367 citations
- Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
- Force field optimization guided by small molecule crystal lattice data enables consistent sub-Angstrom protein-ligand docking (2021) — 79 citations
- Efficient and accurate prediction of protein structure using RoseTTAFold2 (2023) — 132 citations
- De novo design of protein structure and function with RFdiffusion (2023) — 1,299 citations
- Assessment of Protein Model Structure Accuracy Estimation in CASP13: Challenges in the Era of Deep Learning (2019) — 56 citations
- Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA (2023) — 307 citations
- Accurate prediction of nucleic acid and protein-nucleic acid complexes using RoseTTAFoldNA (2022) — 60 citations
- Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom (2023) — 924 citations
- Hallucinating protein assemblies (2022) — 3 citations
- Conductance stable and mechanically durable bi-layer EGaIn composite-coated stretchable fiber for 1D bioelectronics (2023) — 599 citations
- Paclitaxel drives TREM2+ macrophage expansion underlying its inferior therapeutic efficacy compared to Nab-paclitaxel (2026) — 735 citations