Protein identification pipeline for the homology-driven proteomics

Area of Science:

• Proteomics
• Genomics
• Mass Spectrometry

Background:

• Characterizing proteomes of organisms with unsequenced genomes is challenging.
• Homology-driven proteomics offers a solution for such genomic limitations.

Purpose of the Study:

• To address practical aspects of automated homology-driven protein identification.
• To present a pipeline for LC-MS/MS data analysis on a hybrid LTQ Orbitrap mass spectrometer.

Main Methods:

• Utilized homology-driven proteomics.
• Employed Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).
• Operated on a hybrid LTQ Orbitrap mass spectrometer.

Main Results:

• Presented a practical pipeline for automated protein identification.
• Demonstrated the utility of the approach for unsequenced genomes.

Conclusions:

• The presented pipeline facilitates automated protein identification.
• Software supporting the pipeline is publicly accessible or freely downloadable, promoting wider adoption.