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We have integrated structural and quantitative proteomics with biochemicalassays to decipher the mode of action of covalent USP30 inhibition by a smallmolecule containing a cyanopyrrolidine reactive group, USP30-I-1.
Molecular-level biochemicalassays like transcriptomics, genomics and proteomics have emerged as valuable tools for identifying potential targets in cancer treatment through deep cyclic inhibition (DCI). We are pleased that to date our lead product candidate has aligned DCI profiles as expected.
We are excited to share that Strateos’ SVP of Strategy & Operations, Daniel Sipes, will be delivering a presentation entitled Accelerating Medicinal Chemistry Cycle Times Through Cloud-Accessible Smart Automated Labs at the upcoming 2022 Society for Laboratory Automation and Screening Conference & Exhibition between February 5-9th.
Å resolution) 6 is now being targeted for smallmolecule inhibitor discovery and development, by exploiting emergent computational tools to identify potential candidate compounds in silico and then test these predicted inhibitors in in vitro biochemicalassays. Among the 13 N. 7 Figure 2: Structural model of the chosen N.
Put another way, the narrow scope of the data used to train the PAINS filter model restricts the applicability domain of this model to prediction of frequent-hitter behavior in these six assays. These compounds are found ubiquitously throughout commercial and academic smallmolecule screening libraries. [
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