In silico design of targeted SRM-based experiments.

Area of Science:

• Proteomics
• Computational Biology
• Biotechnology

Background:

• Selected reaction monitoring (SRM)-based proteomics offers sensitive and reproducible peptide profiling.
• Developing SRM assays requires experimental determination of peptide properties, which is time-consuming.

Purpose of the Study:

• To introduce a computational framework for the optimal selection of transitions for targeted proteomics assays.
• To enable rapid and automated initial development of SRM assays.

Main Methods:

• A computational framework utilizing protein sequence information and existing transition databases.
• Development of a step-wise and generic protocol for assay development.
• Implementation within the open-source software package OpenMS/TOPP.

Main Results:

• The framework enables optimal transition selection based solely on sequence information or existing databases.
• Achieved an ad hoc coverage of 80% for targeted proteins.
• Demonstrated rapid and fully automated initial assay development.

Conclusions:

• The presented computational framework significantly accelerates targeted proteomics assay development.
• This approach reduces the time and resources needed for profiling thousands of peptides.
• The open-source implementation facilitates broader adoption and application in proteomics research.