Tyler N. Starr
Molecular Biology · 2016–2021
A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 127 citations into it
- Genetics — 58 citations into it
- Epidemiology — 25 citations into it
- Computational Biology & Bioinformatics — 24 citations into it
- Biophysics — 5 citations into it
Whom Tyler N. Starr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jesse D. Bloom
- L. Gong
- Heng Li
- Douglas M. Fowler
- Stefan Elbe
- Kazutaka Katoh
- Stanley Fields
- K. H. Crawford
- M. Delignette-Muller
- Gemma L. Buckland-Merrett
Who trusts Tyler N. Starr overall
- J. Trinquier
- Allison J. Greaney
- Guido Uguzzoni
- Chloe Hsu
- K. H. Crawford
- Shou-Wen Wang
- Jakub Otwinowski
Papers from Tyler N. Starr's perspective
Ordered by how strongly the researchers Tyler N. Starr trusts endorse each paper. Same corpus, a different order for every researcher.
- A pneumonia outbreak associated with a new coronavirus of probable bat origin
- Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
- Protein stability promotes evolvability.
- Mapping the Antigenic and Genetic Evolution of Influenza Virus
- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
- Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details.
- Deep mutational scanning: a new style of protein science
- Human Monoclonal Antibody Combination against SARS Coronavirus: Synergy and Coverage of Escape Mutants
- Data, disease and diplomacy: GISAID's innovative contribution to global health (Global Challenges)
- Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus (PLoS Pathogens)
Their papers
- Epistasis in protein evolution (2016) — 535 citations
- Comprehensive mapping of mutations to the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human serum antibodies (2021) — 749 citations
- Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding (2020) — 1,185 citations
- Complete mapping of mutations to the SARS-CoV-2 spike receptor-binding domain that escape antibody recognition (2020) — 934 citations
- Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding (2020) — 968 citations
- Prospective mapping of viral mutations that escape antibodies used to treat COVID-19 (2020) — 627 citations
- Systematic Mutant Analyses Elucidate General and Client-Specific Aspects of Hsp90 Function. (2016) — 92 citations