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This summary is machine-generated.

Alchemical free energy methods accelerate drug discovery. This study presents interoperable workflows using the BioSimSpace framework to standardize relative binding free energy (RBFE) calculations for reliable results.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • Alchemical free energy methods are increasingly used in computer-aided drug discovery.
  • Numerous methodologies exist for relative binding free energy (RBFE) calculations.
  • Software and file format incompatibilities hinder the sharing of algorithms and protocols.

Purpose of the Study:

  • To develop modular and interoperable RBFE workflows using the BioSimSpace framework.
  • To assess the performance of community-developed setup, simulation, and analysis tools.
  • To provide recommendations for best practices in applying RBFE methods for drug discovery.

Main Methods:

  • Leveraged the BioSimSpace framework to construct RBFE workflows.
  • Utilized a benchmark set of six protein-ligand congeneric series for assessment.
  • Evaluated various community-developed tools for setup, simulation, and analysis.

Main Results:

  • Demonstrated the creation of modular and interoperable RBFE workflows.
  • Assessed the performance of different computational chemistry tools.
  • Identified effective strategies for reliable RBFE calculations.

Conclusions:

  • The BioSimSpace framework facilitates the development of standardized RBFE workflows.
  • Performance assessment provides guidance for selecting appropriate tools.
  • Recommendations are offered to enhance the reliability of RBFE methods in drug discovery.