Rigorous Free Energy Simulations in Virtual Screening.

Area of Science:

• Computational Chemistry and Molecular Modeling
• Drug Discovery and Development
• Biophysics

Background:

• Virtual high-throughput screening (vHTS) accelerates drug discovery but faces limitations.
• Ligand-based vHTS requires prior knowledge of active compounds.
• Structure-based methods like docking use approximations, limiting accuracy.

Purpose of the Study:

• To explore the potential of advanced computational methods to enhance vHTS.
• To propose alchemical binding free energy methods as a rigorous scoring stage.
• To address limitations of current vHTS approaches for novel drug targets.

Main Methods:

• Utilizing all-atom molecular dynamics simulations for alchemical binding free energy calculations.
• Focusing on alchemical absolute binding free energy (ABFE) calculations.
• Leveraging recent advances in scientific methods and GPU computational power.

Main Results:

• Alchemical ABFE calculations provide a statistically rigorous framework for binding energy computation.
• These methods are computationally efficient for diverse molecular datasets required in vHTS.
• The approach is suitable for identifying binders for novel targets where ligand information is absent.

Conclusions:

• Alchemical binding free energy methods have matured for practical application in vHTS.
• ABFE calculations can serve as a reliable final scoring stage to prioritize molecules for experimental testing.
• This approach offers a powerful solution for drug discovery targeting novel disease mechanisms.