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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Catalysis of L-cysteine by IscS in the presence of IscU (dataset formatted for analysis by interferENZY)

Authors: Pinto, Maria Filipa;

Catalysis of L-cysteine by IscS in the presence of IscU (dataset formatted for analysis by interferENZY)

Abstract

Main description This dataset depicts the catalysis of L-cysteine to sulfur by the desulfurase IscS in the presence of the scaffold protein IscU. This kinetic system was described in the PhD thesis "New tools for enzymatic characterization and inhibitor screening: post-Michaelis-Menten kinetic analysis" by Maria Filipa Pinto (https://hdl.handle.net/10216/126202), and this dataset was then used as a study case for the webserver interferENZY (a web-based tool for enzymatic assay validation and standardized kinetic analysis; visit https://interferenzy.i3s.up.pt for more information). To this end, it was converted to the format here presented: tab-separated *.txt input required for interferENZY analysis. Dataset organization Line 1: Tab-separated initial concentrations of substrate L-cysteine in micromolar (µM) concentration Line 2: Concentration of enzyme (1 µM) Line 3: Units of time Line 4: Units of concentration for substrate values and measurements Line 5: Dataset name Line 6 and downwards: Tab-separated column-pairs of the progress curves (time,Product) corresponding to the indicated values of initial concentrations of substrate in line 1 Contact information: Maria Filipa Pinto (mfpinto@i3s.up.pt) Pedro M. Martins (pmartins@ibmc.up.pt) i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135 Porto, Portugal. Telephone number: +351 226 074 900

This work was financially supported by: (i) PhD fellowship SFRH/BD/109324/2015, FCT – Fundação para a Ciência e Tecnologia; (ii) Doutoramento em Ciências Biomédicas – Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto (ICBAS-UP); (iii) FEDER—Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020—Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT—Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES) in the framework of the projects POCI-01-0145-FEDER-031323 (PTDC/MED-FAR/31323/2017), POCI-01-0145-FEDER-031173 (PTDC/BIA-BFS/31173/2017), POCI-01-0145-FEDER-007274 ("Institute for Research and Innovation in Health Sciences") and POCI-01-0145-FEDER-006939 (Laboratory for Process Engineering, Environment, Biotechnology and Energy); (iv) Project UID/EQU/00511/2019 – Laboratory for Process Engineering, Environment, Biotechnology and Energy – LEPABE funded by national funds through FCT/MCTES (PIDDAC); (v) FEDER through Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement in the framework of Projects Norte-01-0145-FEDER-000008 and "LEPABE-2-ECO-INNOVATION" – NORTE-01-0145-FEDER-000005.

{"references": ["Pinto, M. F. (2020). New tools for enzymatic characterization and inhibitor screening: post-Michaelis-Menten kinetic analysis [Doctoral Thesis], Universidade do Porto, Porto, Portugal"]}

Keywords

Enzyme Kinetics, Enzymology, Linearization Method

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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