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Related Concept Videos

Protein Organization01:24

Protein Organization

7.2K
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....
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

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Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
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Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
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A spatial simulation approach to account for protein structure when identifying non-random somatic mutations.

Gregory A Ryslik1, Yuwei Cheng, Kei-Hoi Cheung

  • 1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. gregory.ryslik@yale.edu.

BMC Bioinformatics
|July 4, 2014
PubMed
Summary

Identifying cancer driver mutations is crucial for targeted therapies. SpacePAC (Spatial Protein Amino acid Clustering) is a new method that uses 3D protein structure to find clusters of mutations, improving cancer research.

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Area of Science:

  • Genomics
  • Structural Biology
  • Bioinformatics

Background:

  • Driver mutations are key to cancer development, while passenger mutations are not.
  • Targeted cancer therapies have shown success against driver mutations.
  • Identifying driver mutations requires effective clustering algorithms.

Purpose of the Study:

  • To develop a novel methodology for identifying mutational clusters.
  • To leverage protein tertiary structure in 3D space for mutation analysis.

Main Methods:

  • SpacePAC (Spatial Protein Amino acid Clustering) was developed.
  • Combines mutation data from the Catalogue of Somatic Mutations in Cancer (COSMIC) with spatial data from the Protein Data Bank (PDB).
  • Analyzes protein tertiary structure in 3D space to identify mutation clusters.

Main Results:

  • SpacePAC identified novel mutation clusters in proteins like FGFR3 and CHRM2.
  • Accurately localized significant mutational hotspots in BRAF and ALK.
  • Demonstrated improved identification of mutation clusters by incorporating 3D protein structure.

Conclusions:

  • SpacePAC provides a valuable new tool for identifying mutational clusters.
  • Considers protein tertiary structure, enhancing the accuracy of mutation analysis.
  • A significant advancement in the field of cancer genomics and bioinformatics.