Selective Inhibitors of FKBP51 Employ Conformational Selection of Dynamic Invisible States. Issue 28 (5th June 2019)

• Record Type: Journal Article
• Authors: Jagtap, Pravin Kumar Ankush; Asami, Sam; Sippel, Claudia; Kaila, Ville R. I.; Hausch, Felix; Sattler, Michael
• Is Part Of: Angewandte Chemie international edition. Volume 58:Issue 28(2019)
• Page Start: 9429
• Page End: 9433
• Publication Date: 2019-06-05
• Subjects: conformational selection -- drug selectivity -- FKBP51 -- NMR spectroscopy -- protein dynamics; Chemistry -- Periodicals; 540
• DOI: 10.1002/anie.201902994
• Languages: English
• ISSNs: 1433-7851

Abstract

Abstract: The recently discovered SAFit class of inhibitors against the Hsp90 co‐chaperone FKBP51 show greater than 10 000‐fold selectivity over its closely related paralogue FKBP52. However, the mechanism underlying this selectivity remained unknown. By combining NMR spectroscopy, biophysical and computational methods with mutational analysis, we show that the SAFit molecules bind to a transient pocket in FKBP51. This represents a weakly populated conformation resembling the inhibitor‐bound state of FKBP51, suggesting conformational selection rather than induced fit as the major binding mechanism. The inhibitor‐bound conformation of FKBP51 is stabilized by an allosteric network of residues located away from the inhibitor‐binding site. These residues stabilize the Phe67 side chain in a dynamic outward conformation and are distinct in FKBP52, thus rationalizing the basis for the selectivity of SAFit inhibitors. Our results represent a paradigm for the selective inhibition of transient binding pockets. Abstract : The FKBP51 inhibitor SAFit1 binds a minor conformation of FKBP51 with an outward conformation of Phe67 in the unbound state, suggesting SAFit1 binds to FKBP51 using conformational selection, rather than induced fit. Stabilizing Phe67 in this dynamic outward conformation involves interactions with FKBP51‐specific residues, explaining its selectivity for FKBP51 vs. FKBP52. This shows the importance of protein dynamics in designing selective inhibitors.