Deep Mutational Scanning
Deep Mutational Scanning is a high-throughput experimental methodology that systematically assesses the functional impact of a comprehensive set of mutagenic variants in a biological system by coupling genotype with phenotypic selection through iterative sequencing and enrichment cycles.
234
Publications
18.5K
Citations
1.3K
Authors
396
Institutions
Publications per year
2017–2026
197
234
Deep mutational scanning: a new style of protein science
Douglas M. Fowler, Stanley Fields · Nature Methods · 2014 · 1.5K citations · Full text
Genome-wide prediction of disease variant effects with a deep protein language model
Nadav Brandes, Grant Goldman, Charlotte H. Wang et al. · Nature Genetics · 2023 · 441 citations · Full text
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396
University of Washington
Seattle, United States
34 h-index
215 publications
46.2K citations
Fred Hutch Cancer Center
Seattle, United States
30 h-index
192 publications
27.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
30 h-index
81 publications
9.5K citations
University of California, San Francisco
San Francisco, United States
12 h-index
190 publications
10.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
52 publications
3.3K citations
Scripps Research Institute
San Diego, United States
8 h-index
19 publications
1.6K citations
Case Western Reserve University
Cleveland, United States
8 h-index
12 publications
694 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
781 citations
1–8 of 396
Repository · 30 publications · 957 citations
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18 publications · 1.4K citations
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PNAS · 14 publications · 1.3K citations
14
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10 publications · 551 citations
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8 publications · 540 citations
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