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Molecular surface generation using a variable-radius solvent probe.

Sathesh Bhat1, Enrico O Purisima

  • 1Department of Biochemistry, McGill University, Montreal, Quebec, Canada.

Proteins
|November 16, 2005
PubMed
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A new method generates protein molecular surfaces using a variable solvent probe, improving accuracy over fixed probes. This enhances understanding of protein-ligand interactions and reduces artifactual cavities.

Area of Science:

  • Computational Biology
  • Structural Biology
  • Biophysics

Background:

  • Accurate molecular surface representation is crucial for understanding protein interactions.
  • A fixed 1.4 Å solvent probe radius is inadequate, failing to account for atomic polarity.
  • Existing methods do not model the protein-water boundary dynamically based on polarity.

Purpose of the Study:

  • To develop and present a novel method for generating protein molecular surfaces using a variable radius solvent probe.
  • To address the limitations of fixed solvent probe methods in accurately describing protein surfaces.

Main Methods:

  • Modification of the marching tetrahedra algorithm.
  • Implementation of a variable solvent probe radius based on atomic polarity.

Related Experiment Videos

  • Application to 20 protein structures from the Protein Data Bank (PDB).
  • Analysis of 55 protein-protein complexes.

    • Main Results:

    • The variable probe method generates surfaces with fewer unrealistic crevices in nonpolar regions.
    • It significantly reduces the number of empty, unsolvated cavities compared to the fixed probe method.
    • Electrostatic calculations show improved accuracy due to a better protein-water boundary description.
    • Increased perceived shape complementarity at protein-protein binding interfaces was observed.

    Conclusions:

    • The variable solvent probe method offers a more realistic molecular surface representation.
    • It potentially reclassifies many previously observed empty cavities as artifacts of older methods.
    • This approach has significant implications for calculations of protein recognition, energetics, folding, and stability.