Publications by authors named "T L VanArsdale"

By virtue of its role in cellular proliferation, microtubule-associated serine/threonine kinase-like (MASTL) represents a novel target and a first-in-class (FIC) opportunity to provide a new impactful therapeutic agent to oncology patients. Herein, we describe a hit-to-lead optimization effort that resulted in the delivery of two highly selective MASTL inhibitors. Key strategies leveraged to enable this work included structure-based drug design (SBDD), analysis of lipophilic efficiency (LipE) and novel synthesis.

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More than half of the ~20,000 protein-encoding human genes have paralogs. Chemical proteomics has uncovered many electrophile-sensitive cysteines that are exclusive to subsets of paralogous proteins. Here we explore whether such covalent compound-cysteine interactions can be used to discover ligandable pockets in paralogs lacking the cysteine.

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More than half of the ~20,000 protein-encoding human genes have at least one paralog. Chemical proteomics has uncovered many electrophile-sensitive cysteines that are exclusive to a subset of paralogous proteins. Here, we explore whether such covalent compound-cysteine interactions can be used to discover ligandable pockets in paralogs that lack the cysteine.

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CDK2 is a core cell-cycle kinase that phosphorylates many substrates to drive progression through the cell cycle. CDK2 is hyperactivated in multiple cancers and is therefore an attractive therapeutic target. Here, we use several CDK2 inhibitors in clinical development to interrogate CDK2 substrate phosphorylation, cell-cycle progression, and drug adaptation in preclinical models.

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Cell-cycle control is accomplished by cyclin-dependent kinases (CDKs), motivating extensive research into CDK targeting small-molecule drugs as cancer therapeutics. Here we use combinatorial CRISPR/Cas9 perturbations to uncover an extensive network of functional interdependencies among CDKs and related factors, identifying 43 synthetic-lethal and 12 synergistic interactions. We dissect CDK perturbations using single-cell RNAseq, for which we develop a novel computational framework to precisely quantify cell-cycle effects and diverse cell states orchestrated by specific CDKs.

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