BANDIT

BANDIT analyzes B'-factor (temperature factor) profiles derived from X-ray protein structures to normalize and interpret atomic displacement variations for structure-based drug design and protein–ligand interaction analysis.

Key Features:

• B'-factor profile analysis: Analyzes B'-factor profiles to infer regions of increased flexibility or rigidity and to identify functional sites or binding interfaces.
• Normalization techniques: Applies normalization methods to standardize B'-factor data across different datasets for accurate comparative studies.
• ΔB' interpretation: Quantifies and interprets changes in B'-factors (ΔB') to detect conformational changes upon ligand binding or biochemical modification.
• Crystallographic complex analysis: Relates B'-factor variations to protein–ligand interactions in crystallographic structures.
• Pharmacophore model support: Supports creation of B'-factor-supported pharmacophore models to guide drug candidate optimization, including applications to SARS CoV-2 main protease inhibitors.
• B'-factors as atomic displacement parameters: Uses B'-factors (temperature factors) as measures of atomic displacement parameters within crystallographic structures.

Scientific Applications:

• Structure-based drug design: Uses normalized B'-factors and ΔB' analysis to inform optimization of protein–ligand interactions.
• Identification of functional sites: Identifies flexible or rigid regions that often correlate with active sites or binding interfaces.
• Pharmacophore development and antiviral design: Enables generation of pharmacophore models supported by B'-factor data, exemplified by applications to SARS CoV-2 main protease inhibitors.

Methodology:

Normalization of B'-factor data across datasets; analysis of B'-factor profiles to infer flexibility/rigidity; calculation and interpretation of ΔB' to identify conformational changes upon ligand binding; generation of B'-factor-supported pharmacophore models from crystallographic protein–ligand complexes.