Remove Biochemical Assays Remove Presentation Remove Small Molecule
article thumbnail

Structural Dynamics of the Ubiquitin Specific Protease USP30 in Complex with a Cyanopyrrolidine-Containing Covalent Inhibitor

Covalent Modifiers

We have integrated structural and quantitative proteomics with biochemical assays to decipher the mode of action of covalent USP30 inhibition by a small molecule containing a cyanopyrrolidine reactive group, USP30-I-1.

article thumbnail

Biochemical assays and deep cyclic inhibition in cancer treatment

Drug Target Review

Molecular-level biochemical assays 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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Accelerating Medicinal Chemistry Cycle Times Through Cloud-Accessible Smart Automated Labs - A Preview of Strateos’ Presentation at SLAS 2022

The Strateos Blog: Drug Discovery

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.

article thumbnail

Unique self-activating proteins for drug discovery

Drug Target Review

Å resolution) 6 is now being targeted for small molecule 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 biochemical assays. Among the 13 N. 7 Figure 2: Structural model of the chosen N.

article thumbnail

Are fused tetrahydroquinolines interfering with your assay?

Molecular Design

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 small molecule screening libraries. [