A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles

2D-thermal proteome profiling (2D-TPP) is a powerful assay for probing interactions of proteins with small molecules in their native context. Here the authors provide a statistical method for false discovery rate controlled analysis for 2D-TPP applications.

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Autores principales:	Nils Kurzawa, Isabelle Becher, Sindhuja Sridharan, Holger Franken, André Mateus, Simon Anders, Marcus Bantscheff, Wolfgang Huber, Mikhail M. Savitski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/974e291ef1154bb3b9d13d00e51b2a9c
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spelling	oai:doaj.org-article:974e291ef1154bb3b9d13d00e51b2a9c2021-12-02T14:41:24ZA computational method for detection of ligand-binding proteins from dose range thermal proteome profiles10.1038/s41467-020-19529-82041-1723https://doaj.org/article/974e291ef1154bb3b9d13d00e51b2a9c2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19529-8https://doaj.org/toc/2041-17232D-thermal proteome profiling (2D-TPP) is a powerful assay for probing interactions of proteins with small molecules in their native context. Here the authors provide a statistical method for false discovery rate controlled analysis for 2D-TPP applications.Nils KurzawaIsabelle BecherSindhuja SridharanHolger FrankenAndré MateusSimon AndersMarcus BantscheffWolfgang HuberMikhail M. SavitskiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nils Kurzawa Isabelle Becher Sindhuja Sridharan Holger Franken André Mateus Simon Anders Marcus Bantscheff Wolfgang Huber Mikhail M. Savitski A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
description	2D-thermal proteome profiling (2D-TPP) is a powerful assay for probing interactions of proteins with small molecules in their native context. Here the authors provide a statistical method for false discovery rate controlled analysis for 2D-TPP applications.
format	article
author	Nils Kurzawa Isabelle Becher Sindhuja Sridharan Holger Franken André Mateus Simon Anders Marcus Bantscheff Wolfgang Huber Mikhail M. Savitski
author_facet	Nils Kurzawa Isabelle Becher Sindhuja Sridharan Holger Franken André Mateus Simon Anders Marcus Bantscheff Wolfgang Huber Mikhail M. Savitski
author_sort	Nils Kurzawa
title	A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
title_short	A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
title_full	A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
title_fullStr	A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
title_full_unstemmed	A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
title_sort	computational method for detection of ligand-binding proteins from dose range thermal proteome profiles
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/974e291ef1154bb3b9d13d00e51b2a9c
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A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles

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