David L. Young
Molecular Biology · 2009–2015
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 50 citations into it; #7,583 of 17,773 by trust here, #6,893 by citations
- Genetics — 14 citations into it; #6,407 of 6,854 by trust here, #3,011 by citations
Whom David L. Young trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas M. Fowler
- Carlos L. Araya
- Alok J. Saldanha
- Haim Ashkenazy
- Stanley Fields
- Max Kuhn
- Kazutaka Katoh
- John A. Capra
- Eugene Krissinel
- M. D. de Hoon
Who trusts David L. Young overall
Papers from David L. Young's perspective
Ordered by how strongly the researchers David L. Young trusts endorse each paper. Same corpus, a different order for every researcher.
- High Resolution Mapping of Protein Sequence–Function Relationships
- Enrich: software for analysis of protein function by enrichment and depletion of variants
- Deep mutational scanning: assessing protein function on a massive scale
- A fundamental protein property, thermodynamic stability, revealed solely from large-scale measurements of protein function
- Distribution and intensity of constraint in mammalian genomic sequence. (Genome Research)
- Experimental illumination of a fitness landscape
- Massively parallel functional dissection of mammalian enhancers in vivo
- Protein model discrimination using mutational sensitivity derived from deep sequencing.
- Building Predictive Models in R Using the caret Package
- Amino Acid Difference Formula to Help Explain Protein Evolution
Their papers
- Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein (2013) — 231 citations
- High-resolution analysis of DNA regulatory elements by synthetic saturation mutagenesis (2009) — 371 citations
- Massively Parallel Functional Analysis of BRCA1 RING Domain Variants (2015) — 276 citations
- Combining Natural Sequence Variation with High Throughput Mutational Data to Reveal Protein Interaction Sites (2015) — 28 citations