Jack B. Maguire
Molecular Biology · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 296 citations into it; #13,685 of 17,773 by trust here, #10,864 by citations
- Materials Chemistry — 141 citations into it; #8,621 of 11,513 by trust here, #8,352 by citations
- Spectroscopy — 34 citations into it
- Computational Biology & Bioinformatics — 33 citations into it
Whom Jack B. Maguire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roland L. Dunbrack
- Guoli Wang
- Brian Kuhlman
- Maxim V. Shapovalov
- Andrew Leaver-Fay
- David Baker
- Carol A. Rohl
- Michael D. Tyka
- F. Boas
- Zhixiu Li
Who trusts Jack B. Maguire overall
Papers from Jack B. Maguire's perspective
Ordered by how strongly the researchers Jack B. Maguire trusts endorse each paper. Same corpus, a different order for every researcher.
- Alternate states of proteins revealed by detailed energy landscape mapping
- Native protein sequences are close to optimal for their structures.
- Protein Structure Prediction Using Rosetta
- The Rosetta all-atom energy function for macromolecular modeling and design
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Rapid Sampling of Hydrogen Bond Networks for Computational Protein Design (2018) — 51 citations
- Perturbing the energy landscape for improved packing during computational protein design (2020) — 149 citations