Searching for Hidden Binding Sites with LigandScout's Pocket Finding

To complement its structural profiling tools, LigandScout XT features a robust pocket finder algorithm designed to proactively identify optimal binding sites within target proteins. The algorithm functions by generating a grid surface across the protein structure and systematically calculating the buriedness value of each grid point to locate continuous empty spaces that could serve as functional binding pockets. To ensure that these detected regions are genuinely viable for therapeutic intervention, the software allows researchers to define highly customizable threshold values for both cavity buriedness and overall pocket size.

By carefully fine-tuning these parameters, scientists can successfully filter out superficial surface grooves or excessively large, featureless crevices, isolating only those well-defined pockets that exhibit ideal drugability. This degree of control over pocket selection focuses computational resources on the most promising structural targets, significantly improving the efficiency of the hit-to-lead design phase.

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