Sean T. Flannery

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 20 citations into it
• Materials Chemistry — 19 citations into it
• Computational Theory and Mathematics — 14 citations into it

Whom Sean T. Flannery trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joël Janin
2. Brian G. Pierce
3. Yang Zhang
4. D. Ritchie
5. L. V. D. van der Maaten
6. Wen Torng
7. Zhiping Weng
8. Geoffrey E. Hinton
9. Lenna X. Peterson
10. Dina Schneidman-Duhovny

Papers from Sean T. Flannery's perspective

Ordered by how strongly the researchers Sean T. Flannery trusts endorse each paper. Same corpus, a different order for every researcher.

1. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Visualizing Data using t-SNE
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. PatchDock and SymmDock: servers for rigid and symmetric docking
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. The Graph Neural Network Model
9. Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
10. Long Short-Term Memory

Their papers

• Protein Docking Model Evaluation by Graph Neural Networks (2020) — 94 citations