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DOI: 10.34701/ibisba.1.investigation.8.1

Zenodo URL: None

Created at: 12th May 2023 at 07:49

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In-silico prediction and mass spectrometric validation of the Aspergillus niger secretome

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Contents

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

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Signal Peptide Predictions

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Aspergillus niger centered protein clusters with a positive SignalP3 prediction

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  • SignalPeptidePrediction.XLS

Aspergillus niger CBS513.88 protein model verification of four selected proteins

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  • ProteinModelReannotation.DOC

Orthology identification

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GPI Anchor Predictions

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Culture experiments

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Growth experiment

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Liquid chromatography tandem mass spectrometry

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Proteins detected by high-throughput mass spectrometry of secretome enriched fractions of A. niger N402 cultured under a set of controlled conditions

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  • 12864_2010_9993_MOESM3_ESM.XLS

Validation of the secretome of Aspergillus niger

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Mass Spectrometry Analysis

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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

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Obtain metabolic model

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Identify enzymes from spectra

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Citation
Andrabi, M. (2023). In-silico prediction and mass spectrometric validation of the Aspergillus niger secretome. IBISBAHub. https://doi.org/10.34701/IBISBA.1.INVESTIGATION.8.1
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Snapshot 1 (12th May 2023) DOI
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Created: 12th May 2023 at 07:49

Last updated: 12th May 2023 at 07:51

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