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The genotype-phenotype landscape of an allosteric protein.
Tack, Drew S; Tonner, Peter D; Pressman, Abe; Olson, Nathan D; Levy, Sasha F; Romantseva, Eugenia F; Alperovich, Nina; Vasilyeva, Olga; Ross, David.
Afiliação
  • Tack DS; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Tonner PD; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Pressman A; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Olson ND; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Levy SF; SLAC National Accelerator Laboratory, Menlo Park, CA, USA.
  • Romantseva EF; Joint Initiative for Metrology in Biology, Stanford, CA, USA.
  • Alperovich N; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Vasilyeva O; National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • Ross D; National Institute of Standards and Technology, Gaithersburg, MD, USA.
Mol Syst Biol ; 17(3): e10179, 2021 03.
Article em En | MEDLINE | ID: mdl-33784029
ABSTRACT
Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype-phenotype relationships remains elusive. Here, we report the large-scale measurement of the genotype-phenotype landscape for an allosteric protein the lac repressor from Escherichia coli, LacI. Using a method that combines long-read and short-read DNA sequencing, we quantitatively measure the dose-response curves for nearly 105 variants of the LacI genetic sensor. The resulting data provide a quantitative map of the effect of amino acid substitutions on LacI allostery and reveal systematic sequence-structure-function relationships. We find that in many cases, allosteric phenotypes can be quantitatively predicted with additive or neural-network models, but unpredictable changes also occur. For example, we were surprised to discover a new band-stop phenotype that challenges conventional models of allostery and that emerges from combinations of nearly silent amino acid substitutions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Repressores Lac / Genótipo Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Repressores Lac / Genótipo Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article