nucleic: lec 8
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What is the primary purpose of superimposing protein structures?

  • To identify regions of similarity and difference. (correct)
  • To measure the molecular weight of proteins.
  • To determine the amino acid sequence.
  • To assess the thermal stability of proteins.
  • Which Root Mean Square Deviation (RMSD) value indicates that two structures MAY BE structurally related?

  • RMSD 2.0
  • RMSD 1.0
  • RMSD 5.0 (correct)
  • RMSD 0.5
  • Which tool is noted for aligning homologous sequences?

  • PyMol (correct)
  • RMSD Calculator
  • DALI
  • Distance Matrix Representation
  • What does the Distance Matrix Representation provide?

    <p>Pairwise distances between residues in a protein.</p> Signup and view all the answers

    What can be concluded if two protein structures have an RMSD of 0.5?

    <p>They are very closely related structures.</p> Signup and view all the answers

    What is a common method to quantify the closeness of fit during protein structure superposition?

    <p>Root Mean Square Deviation (RMSD)</p> Signup and view all the answers

    What is a typical RMSD value within experimental error?

    <p>0.5</p> Signup and view all the answers

    DALI is best used for aligning homologous sequences.

    <p>False</p> Signup and view all the answers

    What does RMSD stand for?

    <p>Root Mean Square Deviation</p> Signup and view all the answers

    The method of quantifying structural similarity by minimizing the squares of differences in atom positions is called ______.

    <p>superposition</p> Signup and view all the answers

    Match the structural analysis tools with their features:

    <p>PyMol = Best for homologous sequences DALI = Aligns structures independent of sequence Distance Matrix Representation = Represents pairwise distances between residues RMSD = Quantifies closeness of fit</p> Signup and view all the answers

    What does a Z-score greater than 10 indicate in structural comparison?

    <p>Clear homology</p> Signup and view all the answers

    Distance matrices are three-dimensional representations of structures.

    <p>False</p> Signup and view all the answers

    What is DALI primarily used for?

    <p>Superimposing structures</p> Signup and view all the answers

    A Z-score value of less than 2 indicates that structural similarity is ______.

    <p>co-incidental</p> Signup and view all the answers

    Match the following terms to their definitions:

    <p>R.M.S.D = Indicates how well structures superimpose Z-score = Indicates significance of similarity Distance matrix = Contains independent terms for structure reconstruction DALI = Program for superimposing protein structures</p> Signup and view all the answers

    What Z-score indicates clear homology between structures?

    <p>Z &gt; 10</p> Signup and view all the answers

    A Z-score between 2 and 5 indicates weak similarity.

    <p>True</p> Signup and view all the answers

    Match the Z-score ranges with their meanings:

    <p>Z &lt; 2 = Co-incidental structural similarity Z = 2-5 = Weak similarity Z &gt; 10 = Clear homology Z = 5-10 = Moderate similarity</p> Signup and view all the answers

    Which ion is commonly found to bind to proteins and may indicate physiological binding sites?

    <p>Na+</p> Signup and view all the answers

    Buffer-derived ligands usually provide significant biological insights.

    <p>False</p> Signup and view all the answers

    What does superposition of ligand-bound structures help predict?

    <p>Binding modes in uncharacterized proteins</p> Signup and view all the answers

    SO4 ions can indicate how the native ligand might ______ in binding sites.

    <p>bind</p> Signup and view all the answers

    Match the following ligands or ions with their role in protein structures:

    <p>Na+ = Commonly binds proteins, possibly physiological SO4 = Indicates potential native ligand binding Glycerol = Cryo-protectant often present Divalent cations = Buffer that may bind in physiological sites</p> Signup and view all the answers

    What do highly conserved residues typically indicate about a protein?

    <p>They are often involved in structural stability or key functional roles.</p> Signup and view all the answers

    Why is it essential to include only orthologous sequences in sequence selection?

    <p>To avoid introducing bias from similar proteins.</p> Signup and view all the answers

    What does the visual output of ConSurf typically represent?

    <p>A color-coded structure showing levels of conservation.</p> Signup and view all the answers

    How does PISA contribute to the assessment of oligomeric states?

    <p>It calculates energetics based on crystal interactions.</p> Signup and view all the answers

    Which aspect does not get evaluated by PISA during oligomer state analysis?

    <p>Sequence conservation</p> Signup and view all the answers

    What crucial role do variably conserved residues play in proteins?

    <p>They exhibit tolerance to mutations with little impact on function.</p> Signup and view all the answers

    Which of the following applications does ConSurf support?

    <p>Identifying hydrophobic patches for ligand binding</p> Signup and view all the answers

    What challenge is specifically associated with crystallography when assessing oligomeric states?

    <p>Distinguishing crystal contacts from biologically relevant interactions.</p> Signup and view all the answers

    What do variably conserved residues in proteins generally indicate?

    <p>They are tolerant to mutations and often not functionally critical.</p> Signup and view all the answers

    Which of the following is a key reason for including only orthologous sequences in sequence selection?

    <p>To maintain functional relevance.</p> Signup and view all the answers

    What is primarily highlighted during mutation analysis using ConSurf?

    <p>Residues that are sensitive to mutation.</p> Signup and view all the answers

    What does the output visualization of ConSurf typically represent regarding conserved residues?

    <p>A color gradient from most variable to least variable.</p> Signup and view all the answers

    Which of the following statements about assessing oligomeric states through Cryo-EM is accurate?

    <p>It provides direct observation of the oligomer.</p> Signup and view all the answers

    In the context of residue type mapping, which region is typically identified as functionally relevant?

    <p>Hydrophobic patches for ligand binding.</p> Signup and view all the answers

    When assessing oligomeric states, which method should be used to verify biological contacts?

    <p>Conduct biochemical experiments like gel filtration.</p> Signup and view all the answers

    Study Notes

    Superposition for Protein Structure Alignment

    • Superimposing protein structures identifies similar and different regions.
    • Structure alignment quantifies closeness of fit using least squares method for atom positions. This minimizes differences in atom positions.
    • Homologous structures are compared.
    • Root Mean Square Deviation (RMSD) measures the fit's closeness.
    • RMSD values indicate structural relationships:
      • RMSD 5.0: Potentially structurally related.
      • RMSD 2.0: Closely related.
      • RMSD 0.5: Within typical experimental error.
    • Distance matrices contain all the information needed to reconstruct the protein structure (as a Ca trace), apart from chirality.
    • Distance matrices are two-dimensional and orientation-independent, useful for machine learning-based structure comparisons, as similarity is independent of optimal superposition.
    • Superposition of ligand-bound structures can predict binding modes in uncharacterized proteins.
    • Highly conserved residues may indicate structural stability or key functional roles (e.g., active sites or ligand-binding regions). They may be found on protein surfaces (functional) or buried (structural).
    • Variably conserved residues are more tolerant to mutations, often not directly involved in function or stability.

    Tools for Superposition

    • PyMol: Best for homologous sequences.
    • DALI: Aligns structures regardless of sequence; best for weak overall similarity, minimizing rejections while finding optimal RMSDs.

    Distance Matrix Representation

    • Represents pairwise distances between protein residues.
    • Provides an alternative for comparing structural similarity without superposition.
    • Distance matrices contain sufficient information to reconstruct the protein structure, except for chirality. This is because they contain independent terms (N²/2-N), contrasting with 3N terms used in 3D structure representation.
    • Patterns in individual domains are apparent when the domains shift, suitable for machine learning calculations including structure comparison.
    • Identifying structural homologs involves comparing their distance matrices.
    • DALI, based on distance matrix analysis, is reported in Z-scores.
    • Z-scores indicate structural similarity significance:
      • Z-score < 2: Coincidental similarity
      • Z 2-5: Weak similarity
      • Z > 10: Clear homology
    • Length of alignment (in the DALI algorithm) shows the structures' global similarity or shared subdomains.
    • RMSD indicates the accuracy of the structure superposition.
    • R.M.S.D indicates how well the structures superimpose.

    Ligand Binding and Structural Insights

    • Identifying small molecules and cofactors in structures provides clues about function.
    • Superposition of ligand-bound structures can predict binding modes in uncharacterized proteins.
    • Na+ and Cl- are frequently found bound to proteins (often physiological but not always functionally important).
    • SO4²⁻ ions sometimes bind in PO₄³⁻ or carboxylate binding sites, potentially indicating native ligand binding.
    • Buffer divalent cations can occupy physiological binding sites, but the cation in the structure may not be functionally relevant.
    • Glycerol and ethylene glycol are often present as cryo-protectants (not biologically relevant).
    • Differences in binding sites may reflect evolutionary changes or suggest similar but non-identical ligands.

    Consurf Analysis

    • Consurf identifies highly conserved and variably conserved residues.
    • Sequence Selection: Include only orthologous sequences to ensure functional relevance; avoid paralogs or overly similar sequences to avoid bias. Optimal sequence identity is 50–70% for clarity in conserved regions.
    • Visualization: Consurf outputs a color-coded structure, with conserved residues often represented in a gradient from most variable to most conserved.
    • Applications of ConSurf: Helps locate active sites, binding pockets, or critical interaction regions; allows for mutation analysis, highlighting residues sensitive to mutation; reveals evolutionary insights, showing conserved regions across species for functional relevance; visualizes protein surfaces colored by electrostatic potential (positive, neutral, negative), highlighting regions for interactions with charged ligands or cofactors; and maps residue types, pinpointing functional regions like hydrophobic patches for ligand binding or subunit interfaces.

    Assessing Oligomeric States

    • Cryo-EM directly observes the oligomer.
    • AlphaFold predictions may need biophysical checks of proposed interfaces.
    • Crystallography faces the challenge of distinguishing crystal contacts (biologically irrelevant) from biological contacts.
    • Structural criteria are generally reliable, though some borderline cases are problematic.
    • Biochemical experiments (e.g., gel filtration, static light scattering) can confirm oligomeric state.
    • PISA reconstructs crystal interactions, calculates approximate energetics, and reports buried surface area. It does not check sequence conservation.
    • For crystal structures, if the oligomer is real, all molecules in the crystal (or related crystals) should be organized into the same oligomer.
    • Sequence must be checked if the oligomer is in the crystal structure to verify it's a real biological state.

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    Description

    This quiz focuses on the techniques used for superimposing protein structures, emphasizing the least squares method, Root Mean Square Deviation (RMSD) values, and the tools employed for these analyses. It also covers distance matrix representation for comparing structural similarity. Test your knowledge on homologous structures and their alignment methods!

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