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Mitochondrial precursors are partially unfolded or loosely folded polypeptide chains. Newly synthesized precursors are inhibited from spontaneously folding into their native conformation by the cytosolic chaperones, heat shock proteins 70 (Hsp70), and mitochondrial import stimulation factors (MSFs). Precursors bound to MSFs are guided to the TOM70-TOM37 receptors, while precursors bound to Hsp70  chaperones are targetted to TOM20-TOM22 receptor complexes.
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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Proteotypic Peptides and Their Applications.

Shivakumar Keerthikumar1, Suresh Mathivanan2

  • 1Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia. S.Keerthikumar@latrobe.edu.au.

Methods in Molecular Biology (Clifton, N.J.)
|December 16, 2016
PubMed
Summary
This summary is machine-generated.

Proteotypic peptides offer a precise method for identifying proteins in complex biological samples. This study reviews computational strategies for discovering these unique peptide biomarkers.

Keywords:
BioinformaticsBiomarkersDatabasesSelected reaction monitoringTargeted proteomics

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Area of Science:

  • Proteomics
  • Biomarker Discovery
  • Computational Biology

Background:

  • Mass spectrometry and large proteomic databases enable organism-wide proteome characterization.
  • Despite data abundance, many biological questions remain unresolved.
  • Proteotypic peptides are crucial for accurate protein identification in targeted approaches.

Purpose of the Study:

  • To discuss computational approaches for identifying proteotypic peptides.
  • To highlight resources and techniques for proteotypic peptide discovery.

Main Methods:

  • Review of computational algorithms and software.
  • Analysis of existing proteomic databases and repositories.
  • Examination of techniques for selecting unique peptides per protein or isoform.

Main Results:

  • Identification of proteotypic peptides is essential for targeted proteomics.
  • Various computational tools and databases facilitate this identification process.
  • The selection of appropriate peptides is critical for reliable protein quantification.

Conclusions:

  • Computational methods are vital for identifying proteotypic peptides.
  • These peptides serve as key indicators in immunological and targeted proteomic assays.
  • Further development of these computational strategies will advance proteomic research.