B. Coventry
Molecular Biology · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 365 citations into it
- Materials Chemistry — 169 citations into it
- Computational Biology & Bioinformatics — 66 citations into it
- Computational Theory and Mathematics — 56 citations into it
Whom B. Coventry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dina Schneidman-Duhovny
- Dong Xu
- Andrew Leaver-Fay
- Yang Zhang
- Ruth Nussinov
- Matthew J. O’Meara
- Haim J. Wolfson
- Michael D. Tyka
- Yuval Inbar
- Brian Kuhlman
Papers from B. Coventry's perspective
Ordered by how strongly the researchers B. Coventry trusts endorse each paper. Same corpus, a different order for every researcher.
- Alternate states of proteins revealed by detailed energy landscape mapping
- Rotamer libraries in the 21st century.
- Native protein sequences are close to optimal for their structures.
- 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?
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Improving de novo protein binder design with deep learning (2022) — 367 citations
- Design of protein-binding proteins from the target structure alone (2022) — 514 citations
- De novo design of luciferases using deep learning (2023) — 377 citations
- Perturbing the energy landscape for improved packing during computational protein design (2020) — 149 citations
- Protein sequence optimization with a pairwise decomposable penalty for buried unsatisfied hydrogen bonds (2020) — 24 citations