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PETRA: Drug Engineering via Rigidity Analysis.

Sam Herr1, Josh Myers-Dean1, Hunter Read1

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|March 18, 2020
PubMed
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This study introduces a computational pipeline to analyze individual atom contributions to drug efficacy by examining ligand effects on protein structural stability. This method aids in optimizing drug development by predicting how atomic changes impact therapeutic benefits.

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Rational drug design seeks to maximize therapeutic benefits through target interaction.
  • Computational tools have advanced drug development but the process remains costly and time-consuming.
  • Understanding atomic contributions to drug efficacy is crucial for efficient drug design.

Purpose of the Study:

  • To develop a computational pipeline for assessing individual atom contributions to a ligand's effect on biological target structural stability.
  • To systematically generate and evaluate ligand variants based on atomic-level edits.
  • To provide a tool that aids in optimizing drug efficacy and reducing development costs.

Main Methods:

  • Developed a computational pipeline utilizing protein-ligand PDB structure files.
Keywords:
ligand engineeringrigidity analysis

Related Experiment Videos

  • Systematically generated all possible ligand variants from input structures.
  • Employed graph theoretic rigidity analysis to assess atomic contributions to structural stability.
  • Validated the pipeline using four common drug case studies.

    • Main Results:

    • The pipeline successfully assessed the impact of individual atoms on ligand-target interactions.
    • Atomic-level edits to ligands were shown to alter the drug's effect on structural stability.
    • Analyses were corroborated with known biophysical properties of the studied drugs.
    • Demonstrated the utility of the pipeline in understanding drug mechanisms.

    Conclusions:

    • The developed computational pipeline offers a novel approach to dissecting atomic contributions in drug design.
    • This method can accelerate the identification of potent drug candidates by predicting effects on target stability.
    • The pipeline provides valuable insights for optimizing ligand structures for enhanced therapeutic benefits.