Douglas M. Fowler
Molecular Biology · 2005–2018
A researcher in the Science corpus: 13 papers; trusts 18 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 219 citations into it; #709 of 17,773 by trust here, #1,821 by citations
- Genetics — 102 citations into it; #1,457 of 6,854 by trust here, #940 by citations
- Computational Biology & Bioinformatics — 44 citations into it; #160 of 660 by trust here, #367 by citations
- Materials Chemistry — 20 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it; #1,003 of 3,265 by trust here, #2,127 by citations
- Artificial Intelligence — 7 citations into it
- ML Systems & Hardware — 5 citations into it
Whom Douglas M. Fowler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carlos L. Araya
- Stanley Fields
- David Baker
- John D. Storey
- Daniel Melamed
- Sarel Jacob Fleishman
- Rhiju Das
- Lea M. Starita
- G. MacBeath
- David Gfeller
Who trusts Douglas M. Fowler overall
- G. Diss
- Lea M. Starita
- Carlos L. Araya
- Daniel Melamed
- Stanley Fields
- Claudia Bank
- David L. Young
- Ben Lehner
- Tyler N. Starr
- B. Livesey
Papers from Douglas M. Fowler's perspective
Ordered by how strongly the researchers Douglas M. Fowler trusts endorse each paper. Same corpus, a different order for every researcher.
- High Resolution Mapping of Protein Sequence–Function Relationships
- Deep mutational scanning: assessing protein function on a massive scale
- Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
- Enrich: software for analysis of protein function by enrichment and depletion of variants
- Experimental illumination of a fitness landscape
- Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
- Protein stability promotes evolvability.
- A simple physical model for binding energy hot spots in protein–protein complexes
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Robustness–epistasis link shapes the fitness landscape of a randomly drifting protein
Their papers
- High Resolution Mapping of Protein Sequence–Function Relationships (2010) — 543 citations
- Deep mutational scanning: assessing protein function on a massive scale (2011) — 217 citations
- Deep mutational scanning: a new style of protein science (2014) — 1,207 citations
- Enrich: software for analysis of protein function by enrichment and depletion of variants (2011) — 130 citations
- A fundamental protein property, thermodynamic stability, revealed solely from large-scale measurements of protein function (2012) — 245 citations
- Activity-enhancing mutations in an E3 ubiquitin ligase identified by high-throughput mutagenesis (2013) — 197 citations
- Quantitative missense variant effect prediction using large-scale mutagenesis data (2017) — 204 citations
- Functional amyloid--from bacteria to humans. (2007) — 1,029 citations
- Functional Amyloid Formation within Mammalian Tissue (2005) — 807 citations
- Massively Parallel Functional Analysis of BRCA1 RING Domain Variants (2015) — 276 citations
- Measuring the activity of protein variants on a large scale using deep mutational scanning (2014) — 184 citations
- Variant Interpretation: Functional Assays to the Rescue. (2017) — 350 citations
- Multiplex Assessment of Protein Variant Abundance by Massively Parallel Sequencing (2018) — 402 citations