Supplementary data for "Distributions of fitness effects for amino acid changes from high-throughout mutagenesis experiments" (McCandlish and Stoltzfus, 2018)

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Catalog Last Checked: August 03, 2026 at 03:50 AM | Dataset Last Updated: September 18, 2018

McCandlish and Stoltzfus gathered data from deep mutational scanning experiments on 12 proteins, comprising 56641 distinct amino acid replacement mutations. By converting fitnesses to within-study quantiles, they combined results from all studies to draw general conclusions about distributions of fitness effects for the 380 different types of possible amino acid changes in proteins. They found that most replacements are neither conservative nor radical, but barely different from the background distribution. The shapes of these distributions can be approximated by a maximum-entropy model with only 1 parameter. This data package makes it possible to reproduce the main calculations used by Stoltzfus and McCandlish. The data also may be useful to researchers carrying out meta-analyses of mutation-scanning experiments or DFE experiments.

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DOI Access for Supplementary data for "Distributions of fitness effects for amino acid changes from high-throughout mutagenesis experiments" (McCandlish and Stoltzfus, 2018)

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Complete Metadata

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accessLevel	public
bureauCode	[ "006:55" ]
contactPoint	{ "fn": "Arlin B. Stoltzfus", "hasEmail": "mailto:arlin.stoltzfus@nist.gov" }
describedBy	https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/README.md
description	McCandlish and Stoltzfus gathered data from deep mutational scanning experiments on 12 proteins, comprising 56641 distinct amino acid replacement mutations. By converting fitnesses to within-study quantiles, they combined results from all studies to draw general conclusions about distributions of fitness effects for the 380 different types of possible amino acid changes in proteins. They found that most replacements are neither conservative nor radical, but barely different from the background distribution. The shapes of these distributions can be approximated by a maximum-entropy model with only 1 parameter. This data package makes it possible to reproduce the main calculations used by Stoltzfus and McCandlish. The data also may be useful to researchers carrying out meta-analyses of mutation-scanning experiments or DFE experiments.
distribution	[ { "title": "DOI Access for Supplementary data for "Distributions of fitness effects for amino acid changes from high-throughout mutagenesis experiments" (McCandlish and Stoltzfus, 2018)", "accessURL": "https://doi.org/10.18434/M31970" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/README.md" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/README.md.sha256" }, { "mediaType": "text/tab-separated-values", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/all_obs.tsv" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/all_obs.tsv.sha256" }, { "mediaType": "application/pdf", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/figure_s1.pdf" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/figure_s1.pdf.sha256" }, { "mediaType": "application/mathematica", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/ms2018_calculations.nb" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/ms2018_calculations.nb.sha256" }, { "mediaType": "text/tab-separated-values", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/raw_obs.tsv" }, { "mediaType": "text/plain", "downloadURL": "https://data.nist.gov/od/ds/762AD4DA63D05927E05324570681D36C1970/raw_obs.tsv.sha256" } ]
identifier	762AD4DA63D05927E05324570681D36C1970
keyword	[ "deep mutational scanning", "fitness", "mutation", "protein" ]
landingPage	https://data.nist.gov/od/id/762AD4DA63D05927E05324570681D36C1970
language	[ "en" ]
license	https://www.nist.gov/open/license
modified	2018-09-18 00:00:00
programCode	[ "006:045" ]
publisher	{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" }
theme	[ "Bioscience:Engineering/synthetic biology", "Chemistry:Molecular characterization", "Mathematics and Statistics:Numerical methods and software" ]
title	Supplementary data for "Distributions of fitness effects for amino acid changes from high-throughout mutagenesis experiments" (McCandlish and Stoltzfus, 2018)

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