In-silico prediction and mass spectrometric validation of the Aspergillus niger secretome
DownloadDOI: 10.34701/ibisba.1.investigation.8.1
Zenodo URL: None
Created at: 12th May 2023 at 07:49
In-Silico Prediction
A majority rule based classifier that evaluates signal peptide (SP) predictions from the best homologs of three neighbouring Aspergillus species was developed to create an improved list of potential signal peptide containing proteins encoded by the Aspergillus niger genome.
Obtain proteomes
No description specified
Signal Peptide Predictions
No description specified
Aspergillus niger centered protein clusters with a positive SignalP3 prediction
No description specified
- SignalPeptidePrediction.XLS
Aspergillus niger CBS513.88 protein model verification of four selected proteins
No description specified
- ProteinModelReannotation.DOC
Orthology identification
No description specified
GPI Anchor Predictions
No description specified
Culture experiments
No description specified
Growth experiment
No description specified
Liquid chromatography tandem mass spectrometry
No description specified
Proteins detected by high-throughput mass spectrometry of secretome enriched fractions of A. niger N402 cultured under a set of controlled conditions
No description specified
- 12864_2010_9993_MOESM3_ESM.XLS
Validation of the secretome of Aspergillus niger
No description specified
Mass Spectrometry Analysis
No description specified
Proteins detected by high-throughput mass spectrometry of secretome enriched fractions of A. niger N402 cultured under a set of controlled conditions
No description specified
- 12864_2010_9993_MOESM3_ESM.XLS
Metabolic model analysis
No description specified
Obtain metabolic model
No description specified
Identify enzymes from spectra
No description specified
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Created: 12th May 2023 at 07:49
Last updated: 12th May 2023 at 07:51
