Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL

• Published in: Molecular informatics 2024-08, Vol.43 (8), p.e202400050-n/a
• Main Authors: Lejmi, Maroua, Geslin, Damien, Bureau, Ronan, Cuissart, Bertrand, Ben Slima, Ilef, Meddouri, Nida, Borgi, Amel, Lamotte, Jean‐Luc, Lepailleur, Alban
• Format: Article
• Language: English
• Subjects: activity discontinuity; BCR-ABL protein; Case studies; Chemical activity; Chemical Sciences; chemical space; Cheminformatics; Cheminformatics - methods; Classification; Color; Discontinuity; Fusion Proteins, bcr-abl - antagonists & inhibitors; Fusion Proteins, bcr-abl - chemistry; Humans; Kinases; Molecular properties; Pharmacophore; Protein Kinase Inhibitors - chemistry; Protein Kinase Inhibitors - pharmacology; Structure-Activity Relationship; structure-activity relationships; Tyrosine
• ISSN: 1868-1743; 1868-1751; 1868-1751
• DOI: 10.1002/minf.202400050

The exploration of chemical space is a fundamental aspect of chemoinformatics, particularly when one explores a large compound data set to relate chemical structures with molecular properties. In this study, we extend our previous work on chemical space visualization at the pharmacophoric level. Instead of using conventional binary classification of affinity (active vs inactive), we introduce a refined approach that categorizes compounds into four distinct classes based on their activity levels: super active, very active, active, and inactive. This classification enriches the color scheme applied to pharmacophore space, where the color representation of a pharmacophore hypothesis is driven by the associated compounds. Using the BCR‐ABL tyrosine kinase as a case study, we identified intriguing regions corresponding to pharmacophore activity discontinuities, providing valuable insights for structure‐activity relationships analysis.