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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Overview
Protein Organization01:24

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Peptidoglycan Synthesis01:28

Peptidoglycan Synthesis

Structure of PeptidoglycanPeptidoglycan is a vital structural component of the bacterial cell wall, providing mechanical strength and shape to the cell. It consists of repeating units of two sugars—N-acetylglucosamine (NAG) and N-acetylmuramic acid (NAM)—linked by β-1,4 glycosidic bonds. These sugar chains are cross-linked by short peptide chains, forming a mesh-like polymer that surrounds the bacterial plasma membrane.Cytoplasmic Phase – Precursor SynthesisPeptidoglycan biosynthesis begins in...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Peptide Bonds02:43

Peptide Bonds

A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...

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Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides
07:26

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Published on: November 21, 2013

Structural pattern matching of nonribosomal peptides.

Ségolène Caboche1, Maude Pupin, Valérie Leclère

  • 1Computer Science Laboratory of Lille, UMR USTL/CNRS 8022, INRIA, F59655, Villeneuve d'Ascq, France. segolene.caboche@lifl.fr

BMC Structural Biology
|March 20, 2009
PubMed
Summary

A new method efficiently searches the NORINE database for nonribosomal peptide (NRP) structural patterns. This enables rapid analysis of complex peptide structures and their biological activities.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Nonribosomal peptides (NRPs) are microbial secondary metabolites with diverse bioactivities, including antibiotic, immunosuppressant, and antitumor properties.
  • NRP structures can be complex, featuring non-linear arrangements like cycles and branchings, with hundreds of possible monomeric units.
  • The NORINE database catalogs over 700 NRPs, representing their structures as labeled graphs for systematic analysis.

Purpose of the Study:

  • To develop an efficient computational method for searching structural patterns within the NORINE database.
  • To facilitate systematic analysis of NRP structural motifs and their potential functional roles.

Main Methods:

  • Developed an efficient algorithm for identifying substructures within peptide graphs.
  • Applied a variant of the maximum common subgraph problem by computing cliques in a compatibility graph.

Main Results:

  • The method enables rapid identification of all peptides containing a specified pattern substructure.
  • The search process is highly efficient, completing in under one second for the entire NORINE database.

Conclusions:

  • The developed pattern searching method has been integrated into the NORINE database.
  • This advancement significantly enhances the utility of NORINE for researchers studying nonribosomal peptide structures and functions.