Jason J. Stephany
Molecular Biology · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 61 citations into it; #6,605 of 17,773 by trust here, #5,914 by citations
- Computational Biology & Bioinformatics — 16 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Jason J. Stephany trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jason J. Stephany overall
Papers from Jason J. Stephany's perspective
Ordered by how strongly the researchers Jason J. Stephany trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep mutational scanning: assessing protein function on a massive scale
- Enrich: software for analysis of protein function by enrichment and depletion of variants
- Experimental illumination of a fitness landscape
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
- A fundamental protein property, thermodynamic stability, revealed solely from large-scale measurements of protein function
- A simple physical model for binding energy hot spots in protein–protein complexes
- Macromolecular modeling with rosetta.
- A large genome centre’s improvements to the Illumina sequencing system (Nature Methods)
- Protein tolerance to random amino acid change.
Their papers
- High Resolution Mapping of Protein Sequence–Function Relationships (2010) — 543 citations
- Measuring the activity of protein variants on a large scale using deep mutational scanning (2014) — 184 citations
- Multiplex Assessment of Protein Variant Abundance by Massively Parallel Sequencing (2018) — 402 citations