Benedict Wolf

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 29 citations into it
• Computational Biology & Bioinformatics — 17 citations into it
• Materials Chemistry — 15 citations into it

Whom Benedict Wolf trusts overall

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

1. Yang Zhang
2. Diederik P. Kingma
3. Ivan V. Anishchenko
4. Jeffrey Skolnick
5. Milot Mirdita
6. Namrata Anand
7. Lewis Moffat
8. Michael Jendrusch
9. Sergey Ovchinnikov
10. John Ingraham

Papers from Benedict Wolf's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Highly accurate protein structure prediction with AlphaFold
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Improved protein structure prediction using predicted interresidue orientations
6. The Rosetta all-atom energy function for macromolecular modeling and design
7. De novo protein design by deep network hallucination
8. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
9. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
10. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy

Their papers

• De novo protein design by inversion of the AlphaFold structure prediction network (2022) — 83 citations