Protein secretion usually requires the presence of a N- terminal signal peptide (SP) and by scanning for this feature using available highly accurate SP-prediction tools, the fraction of potentially secreted proteins can be directly predicted. We were able to improve the in silico inventory of Aspergillus niger secretory proteins by combining different gene-model predictions from neighbouring Aspergilli and thereby avoiding prediction conflicts associated with inaccurate gene-models. An experimental validation of the predicted proteome confirmed in silico predictions.
Programme: IBISBA Workshop
SEEK ID: https://sandbox10.fairdomhub.org/projects/3
Public web page: http://www.manchester.ac.uk
Organisms: Aspergillus niger
IBISBA PALs: No PALs for this Project
Project start date: 1st Mar 2025
Project end date: 31st Dec 2028
Related items
- People (2)
- Programmes (1)
- Institutions (2)
- Investigations (1)
- Studies (4)
- Assays (5)
- Data files (2+1)
- Sample types (3)
- Samples (17+2)
- Observation Units (0+1)
Projects: Test: An inventory of the aspergillus secretome
Institutions: Something else
Projects: Test: An inventory of the aspergillus secretome, Workshop fair data station example, An inventory of the Aspergillus niger secretome, Test, PichiaTest, Project: An inventory of the Aspergillus niger secretome
Web page: Not specified
Submitter: Munazah Andrabi
Studies: Culture experiments, In silico prediction, Metabolic model analysis, Validation of the secretome of A. niger
Assays: Identify enzymes from spectra, Liquid chromatography tandem mass spectrometric, MS analysis, Obtain metabolic model, Signal peptide predictions
Snapshots: No snapshots
Submitter: Munazah Andrabi
Investigation: Understanding the extracellular environment in ...
Assays: Identify enzymes from spectra, Obtain metabolic model
Snapshots: No snapshots
Submitter: Munazah Andrabi
Investigation: Understanding the extracellular environment in ...
Assays: MS analysis
Snapshots: No snapshots
Submitter: Munazah Andrabi
Investigation: Understanding the extracellular environment in ...
Snapshots: No snapshots
Submitter: Munazah Andrabi
Investigation: Understanding the extracellular environment in ...
Assays: Signal peptide predictions
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Genomics
Technology type: ChIP-on-chip
Investigation: Understanding the extracellular environment in ...
Study: In silico prediction
Organisms: No organisms
SOPs: No SOPs
Data files: Proteins detected by high-throughput mass spect..., Samples via datafile, samples test again dfile and 1 hidden item
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Understanding the extracellular environment in ...
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Understanding the extracellular environment in ...
Study: Metabolic model analysis
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Understanding the extracellular environment in ...
Study: Culture experiments
Organisms: Aspergillus niger (batch)
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Biological problem addressed: SBML Model
Investigation: Understanding the extracellular environment in ...
Study: Metabolic model analysis
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Creator: Munazah Andrabi
Submitter: Munazah Andrabi
Investigations: Understanding the extracellular environment in ...
Studies: In silico prediction
Assays: Signal peptide predictions
Creator: Munazah Andrabi
Submitter: Munazah Andrabi
Investigations: Understanding the extracellular environment in ...
Studies: In silico prediction
Assays: Signal peptide predictions