Hsp90 continues to be an important target for pharmaceutical discovery. In this project, virtual screening (VS) for novel Hsp90 inhibitors was performed using a combination of Autodock and Surflex-Sim (LB) scoring functions with the predictive ability of 3-D QSAR models, previously generated with the 3-D QSAutogrid/R procedure. Extensive validation of both structurebased (SB) and ligand-based (LB), through realignments and cross-alignments, allowed the definition of LB and SB alignment rules. The mixed LB/SB protocol was applied to virtually screen potential Hsp90 inhibitors from the NCI Diversity Set composed of 1785 compounds. A selected ensemble of 80 compounds were biologically tested. Among these molecules, preliminary data yielded four derivatives exhibiting IC50 values ranging between 18 and 63 μM as hits for a subsequent medicinal chemistry optimization procedure.
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|Titolo:||Hsp90 Inhibitors, part 2: combining ligand-based and structure-based approches for virtual screening application|
|Citazione:||Caroli, A., Ballante, F., Wickersham, R.B., Corelli, F., & Ragno, R. (2014). Hsp90 Inhibitors, part 2: combining ligand-based and structure-based approches for virtual screening application. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 54(3), 970-977.|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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