Institute of Biochemistry and Technical Biochemistry

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Author Affiliation: Universität Stuttgart

1 to 10 of 43 Results

Viscosities of experimental aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3120, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Viscosities of experimental aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3121, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Tracer-diffusion coefficients of experimental aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Tracer-diffusion coefficients of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3118, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
The modular structure of alpha/beta-hydrolases: similarity of the N- and C-terminal domains to other proteins Sep 30, 2019 - Bioinformatics Bauer, Tabea, 2019, "The modular structure of alpha/beta-hydrolases: similarity of the N- and C-terminal domains to other proteins", https://doi.org/10.18419/darus-458, DaRUS, V1, UNF:6:pbQRgDXU4w7vnxyqxzzuRQ== [fileUNF] To analyse the structural similarities of the N- and C-terminal domains, representative protein structures of each oxyanion hole type from the proteins of alpha/beta-hydrolase superfamilies 8 to 12 were selected from the Lipase Engineering Database (https://led.biocatnet.de/). Th...
Sequence cross-references and taxonomic lineage for glycoside hydrolase family 19 May 20, 2021 - Glycoside Hydrolase 19 Engineering Database Buchholz, Patrick C. F., 2021, "Sequence cross-references and taxonomic lineage for glycoside hydrolase family 19", https://doi.org/10.18419/darus-1163, DaRUS, V1, UNF:6:zi8TRxkq1C/pCN14pXTA0Q== [fileUNF] The Glycoside Hydrolase 19 Engineering Database (GH19ED) contains information on protein sequences and structures of glycoside hydrolases from family 19. This dataset lists cross-references to the National Center for Biotechnology Information (NCBI), cross-references to the Prote...
Self-diffusion coefficients of simulated aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Self-diffusion coefficients of simulated aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Self-diffusion coefficients of experimental aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3119, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Query sequences for the update of the LccED Jan 27, 2020 - Bioinformatics Zeil, Catharina; Buchholz, Patrick C. F., 2020, "Query sequences for the update of the LccED", https://doi.org/10.18419/darus-559, DaRUS, V1, UNF:6:hIeqwMgxpY0QZZZ4FAMRvg== [fileUNF] Query sequences for the individual BLAST searches used to update the Laccase and Multicopper Oxidase Engineering Database (LccED, https://lcced.biocatnet.de/).
Query sequences for the update of the ExED Jan 30, 2020 - Expansin Engineering Database Lohoff, Caroline; Buchholz, Patrick C. F., 2020, "Query sequences for the update of the ExED", https://doi.org/10.18419/darus-622, DaRUS, V1, UNF:6:eFcDsa8udm3F11lB7M2q6w== [fileUNF] Query sequences for the individual BLAST searches used to update the Expansin Engineering Database (ExED, https://exed.biocatnet.de/).

Viscosities of experimental aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3120, DaRUS, V1

In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...

Viscosities of experimental aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3121, DaRUS, V1

Tracer-diffusion coefficients of experimental aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Tracer-diffusion coefficients of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3118, DaRUS, V1

The modular structure of alpha/beta-hydrolases: similarity of the N- and C-terminal domains to other proteins

Sep 30, 2019 - Bioinformatics

Bauer, Tabea, 2019, "The modular structure of alpha/beta-hydrolases: similarity of the N- and C-terminal domains to other proteins", https://doi.org/10.18419/darus-458, DaRUS, V1, UNF:6:pbQRgDXU4w7vnxyqxzzuRQ== [fileUNF]

To analyse the structural similarities of the N- and C-terminal domains, representative protein structures of each oxyanion hole type from the proteins of alpha/beta-hydrolase superfamilies 8 to 12 were selected from the Lipase Engineering Database (https://led.biocatnet.de/). Th...

Sequence cross-references and taxonomic lineage for glycoside hydrolase family 19

May 20, 2021 - Glycoside Hydrolase 19 Engineering Database

Buchholz, Patrick C. F., 2021, "Sequence cross-references and taxonomic lineage for glycoside hydrolase family 19", https://doi.org/10.18419/darus-1163, DaRUS, V1, UNF:6:zi8TRxkq1C/pCN14pXTA0Q== [fileUNF]

The Glycoside Hydrolase 19 Engineering Database (GH19ED) contains information on protein sequences and structures of glycoside hydrolases from family 19. This dataset lists cross-references to the National Center for Biotechnology Information (NCBI), cross-references to the Prote...

Self-diffusion coefficients of simulated aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1

Self-diffusion coefficients of simulated aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1

Self-diffusion coefficients of experimental aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3119, DaRUS, V1

Query sequences for the update of the LccED

Jan 27, 2020 - Bioinformatics

Zeil, Catharina; Buchholz, Patrick C. F., 2020, "Query sequences for the update of the LccED", https://doi.org/10.18419/darus-559, DaRUS, V1, UNF:6:hIeqwMgxpY0QZZZ4FAMRvg== [fileUNF]

Query sequences for the individual BLAST searches used to update the Laccase and Multicopper Oxidase Engineering Database (LccED, https://lcced.biocatnet.de/).

Query sequences for the update of the ExED

Jan 30, 2020 - Expansin Engineering Database

Lohoff, Caroline; Buchholz, Patrick C. F., 2020, "Query sequences for the update of the ExED", https://doi.org/10.18419/darus-622, DaRUS, V1, UNF:6:eFcDsa8udm3F11lB7M2q6w== [fileUNF]

Query sequences for the individual BLAST searches used to update the Expansin Engineering Database (ExED, https://exed.biocatnet.de/).

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