The FP-score quadrant matrix along with the 2D and 3D-FMOPhore heatmaps can provide medicinal chemists with a comprehensive visual representation of binding site interactions, combining quantitative interaction percentages with qualitative interaction energy assessments to facilitate the identification of key binding hotspots and guide future experimental efforts. This heatmaps can be a valuable tool in drug discovery for prioritizing residues for further experimental validation. By focusing on residues with high interaction percentages and strongly negative free energy values, researchers can streamline the identification of promising binding features. The data can be used to guide targeted drug design by focusing on residues with high interaction percentages and favorable binding affinities. FMOPhore can distinguish between true and false positive binding interaction, where residues that frequently appear with low interaction percentages and unfavorable interaction energy values can be inferred as false positives, which are less likely to be critical binding hotspots. By integrating dynamics, we have demonstrated that Dy-FMOPhore, can increase the accuracy of categorizing binding site residues into hotspots and non-hotspots, for systems with high flexibility or large binding pocket recalling multiple fragments growing strategies.