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Final version of the Agenda: All Hands PALs meeting on 21-22 of May 2012 in Warnemünde/Rostock.
Creators: None
Submitter: Olga Krebs
For each modeled 3D structure of LHD (see Part 1: 3D structure modeling for LDH enzymes) was computed electrostatic potential by using the UHBD program. The files are in GRD format (binary) and can be visualized with the graphical programs as CHIMERA or VMD.
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
The output includes the similarity matrix of LDH enzymes based on comparison of the electrostatic potentials at allosteric and catalytic binding sites, separately. The similarity indices were generated by the PIPSA program (http://projects.villa-bosch.de/mcmsoft/pipsa/3.0/).
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
batch fermatation - The transition from growing to non-growing Bacillus subtilis cells
Creator: Sandra Maass
Submitter: The JERM Harvester
batch fermatation - The transition from growing to non-growing Bacillus subtilis cells
Creator: Sandra Maass
Submitter: Sandra Maass
B. subtilis was grown in minimal media in a chemostat at different growth rates (µ= max, µ=0.1, µ=0.4) and in the presence of 1.2M NaCl (µ=0.1) with or without glycinebetaine. Here you'll find cell sizes for every sample.
Creators: Sandra Maass, Michael Kohlstedt, Claudia Korneli
Submitter: Sandra Maass
B. subtilis was grown in minimal media in a chemostat at growth rate µ=0.1, with 1.2M NaCl and glycine betaine. Relative quantification for the proteome was done using metabolic labeling.
Creator: Sandra Maass
Submitter: Sandra Maass
B. subtilis was grown in minimal media in a chemostat at growth rate µ=0.1, with 1.2M NaCl, without glycine betaine. Relative quantification for the proteome was done using metabolic labeling.
Creator: Sandra Maass
Submitter: Sandra Maass
B. subtilis was grown in minimal media in a chemostat at different growth rates (µ= max, µ=0.1, µ=0.4) and in the presence of 1.2M NaCl (µ=0.1) with or without glycinebetaine. Here you'll find cell titers for every sample.
Creators: Sandra Maass, Michael Kohlstedt, Claudia Korneli
Submitter: Sandra Maass
Creator: Praveen kumar Sappa
Submitter: The JERM Harvester
Array hybridisation was done at Roche Nimblegen Inc. It cannot be displayed over here.
Creator: Praveen kumar Sappa
Submitter: Praveen kumar Sappa
Creator: Praveen kumar Sappa
Submitter: Praveen kumar Sappa
SysMo2: Intra- and extracellular metabolome data of the chemostat experiments: nitrogen limitation, nitrogen limitation+ NaCl, nitrogen limitation + glucose
Creator: Hanna Meyer
Submitter: Hanna Meyer
Data sheet generated in Greifswald to measure the response of sigB activity in response to different media composition.
Creator: Ulf Liebal
Submitter: Ulf Liebal
Strain BSA115 is grown until appr. OD 0.25 then expression of sigB is induced by the addition of IPTG. The extend of stress response is measured by the expression of lacZ via beta-Gal assay. The experiment lasts for appr. 400 min.
Creator: Ulf Liebal
Submitter: Ulf Liebal
Heterologous Expression of LDHs from different lactic acid bacteria in Escherichia coli DH5α. Assessment of kinetic parameters of LDH to include in a catabolic model .
Creators: None
Submitter: Silvio Hering
Heterologous Expression of LDHs from different lactic acid bacteria in Escherichia coli DH5α.
Assessment of kinetic parameters of LDH to include in a catabolic model.
Creators: Silvio Hering, Tomas Fiedler
Submitter: Silvio Hering
An extended model description of the TryS model
Creators: Jurgen Haanstra, Alejandro Leroux
Submitter: Jurgen Haanstra
The file contains the initial rate measurements of TbTryS obtained under different substrate and product initial concentrations.
Creator: Alejandro Leroux
Submitter: Alejandro Leroux
The stressosome is composed of three proteins that assemble in the form of an icosahedron. Icosahedra can be modelled in different ways with different abstraction levels regarding the original stressosome structure. The pdf-figure introduces geometric modelling of the stressosome using origami and particle dynamics simulations.
Creator: Ulf Liebal
Submitter: Ulf Liebal
The pdf-file shows simulations of a hypothetical model of sigma factor competition. It simulates the dynamics that we can expect from the experiments and prepares for the analysis of the experimental data. Analysis of sigma factor competition is based on a Lineweaver-Burk representation of RNApolymerase and competing sigma factors.
Creator: Ulf Liebal
Submitter: Ulf Liebal
S. pneumoniae RNA-Seq Barcodes: HPUra 1: CAGATC HPUra 2: ACTTGA Kanamycin: AGTCAA
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
S. pneumoniae RNA-Seq Barcodes: Control 1: CAGATC Control 2: ACTTGA
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
E. coli RNA-Seq Barcodes: Trimethoprim 1: CCGTCC Trimethoprim 2: GTAGAG
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
E. coli RNA-Seq Barcodes: Control 1: AGTTCC Control 2: ATGTCA
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
E. coli DNA-Seq Barcodes: control 1: GTGGCC control 2: GTTTCG Trimethoprim 1: CACTCA Trimethoprim 2: CAGGCG
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
S. pneumoniae kanamycin DNA PE2
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
S. pneumoniae kanamycin DNA PE1
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
S. pneumoniae HPUra 2 DNA PE2
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening
S. pneumoniae HPUra 2 DNA PE1
Creator: Jan-Willem Veening
Submitter: Jan-Willem Veening