Alexander M. Sevy
Molecular Biology · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 370 citations into it
- Materials Chemistry — 172 citations into it
- Computational Theory and Mathematics — 52 citations into it
- Computational Biology & Bioinformatics — 46 citations into it
- Organic Chemistry — 13 citations into it
Whom Alexander M. Sevy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Colin A. Smith
- Tanja Kortemme
- Roland L. Dunbrack
- Brian Kuhlman
- Andrew Leaver-Fay
- Amelie Stein
- Kim D. Pruitt
- David Baker
- Chen Yanover
- Sarel Jacob Fleishman
Who trusts Alexander M. Sevy overall
Papers from Alexander M. Sevy's perspective
Ordered by how strongly the researchers Alexander M. Sevy trusts endorse each paper. Same corpus, a different order for every researcher.
- Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.
- 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
- Comprehensive Analysis of Loops at Protein-Protein Interfaces for Macrocycle Design
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
Their papers
- Protocols for Molecular Modeling with Rosetta3 and RosettaScripts (2016) — 176 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences (2015) — 39 citations
- Multi-state design of flexible proteins predicts sequences optimal for conformational change (2019) — 26 citations
- Crystal structure of C05 V110P/A117E mutant bound to H3 influenza hemagglutinin, HA1 subunit (2019)
- Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses (2019) — 27 citations