I. Mathews

Molecular Biology · 2006–2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 51 citations into it
• Computational Biology & Bioinformatics — 28 citations into it
• Materials Chemistry — 27 citations into it
• Spectroscopy — 10 citations into it

Whom I. Mathews trusts overall

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

1. Po-Ssu Huang
2. David Baker
3. Kevin Cowtan
4. S. Parasuraman

Papers from I. Mathews's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. The Rosetta all-atom energy function for macromolecular modeling and design
3. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
4. Native protein sequences are close to optimal for their structures.
5. Alternate states of proteins revealed by detailed energy landscape mapping
6. RosettaHoles: Rapid assessment of protein core packing for structure prediction, refinement, design, and validation
7. Kemp elimination catalysts by computational enzyme design
8. Protein data bank
9. Automatic differentiation in PyTorch
10. De novo protein design by deep network hallucination

Their papers

• Protein sequence design with a learned potential (2022) — 69 citations
• The 2.7-Å crystal structure of a 194-kDa homodimeric fragment of the 6-deoxyerythronolide B synthase (2006) — 253 citations