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Related Concept Videos

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.
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Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
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Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
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Related Experiment Video

Updated: Jan 12, 2026

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
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Co-Var, a Measure to Determine Intra-protein, Inter-protein, Protein-DNA, or Protein-RNA Coevolution.

Ishita Mukherjee1,2, Saikat Chakrabarti3

  • 1Structural Biology and Bioinformatics Division, Council for Scientific and Industrial Research (CSIR)-Indian Institute of Chemical Biology (IICB), Kolkata, West Bengal, India. ishitamukherjee90@csiriicb.res.in.

Methods in Molecular Biology (Clifton, N.J.)
|November 1, 2025
PubMed
Summary
This summary is machine-generated.

Predicting biomolecular coevolutionary pairings helps identify key residues in complexes. The Correlated Variation (Co-Var) method uses mutual information and Bhattacharyya coefficient to find these coevolving residues.

Keywords:
Coevolving residuesIntermolecular coevolutionMutual informationSequence homologySequence–structure relationships

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Interacting biomolecules often exhibit coevolution, with residue changes preserving function.
  • Identifying coevolving residues is crucial for understanding protein complexes and interfaces.

Purpose of the Study:

  • To describe the utilization of the Correlated Variation (Co-Var) method.
  • To identify coevolutionary pairings within and across biomolecules.

Main Methods:

  • The Correlated Variation (Co-Var) method was employed.
  • Statistical parameters including mutual information and Bhattacharyya coefficient were utilized.

Main Results:

  • The Co-Var method successfully identifies coevolving residue pairings.
  • The approach is applicable to various biomolecular complexes, including protein-protein, protein-DNA, and protein-RNA interactions.

Conclusions:

  • The Co-Var method is a valuable tool for predicting coevolutionary pairings.
  • This prediction aids in determining structurally and functionally important residues in biomolecular interactions.