Roshambo

Roshambo performs molecular alignment and 3D similarity scoring optimized for large-scale virtual screening of small molecules.

Key Features:

• Gaussian Volume Overlap Optimization: Employs the PAPER software for optimizing molecular alignments based on Gaussian volume overlaps.
• GPU Acceleration: Utilizes GPU acceleration to significantly reduce computational time and resource requirements.
• Shape and Color Scoring: Computes both shape and color scores based on pharmacophore features to assess molecular similarity after optimal alignment.
• Output Format: Aligned molecules can be optionally output in sdf format.
• Benchmarking: Benchmarked using the DUDE-Z public data sets, demonstrating near-state-of-the-art performance and robustness across multiple target classes.

Scientific Applications:

• Ligand-Based Virtual Screening: Identifies potential drug candidates through 3D molecular similarity assessment complementary to structure-based virtual screening.
• Large-Scale Virtual Screening: Enables routine ligand-based drug discovery workflows requiring efficient processing of many small molecules.

Methodology:

Roshambo employs the PAPER software for optimizing molecular alignments based on Gaussian volume overlaps, followed by computation of shape and color scores based on pharmacophore features.