DNA-encoded small molecule libraries (DELs) have enabled discovery of novel inhibitors for many distinct protein targets of therapeutic value through screening of libraries with up to billions of unique small molecules. We demonstrate a new approach applying machine learning to DEL selection data by identifying active molecules from a large commercial collection and a virtual library of easily synthesizable compounds. We train models using only DEL selection data and apply automated or automatable filters with chemist review restricted to the removal of molecules with potential for instability or reactivity. We validate this approach with a large prospective study (nearly 2000 compounds tested) across three diverse protein targets: sEH (a hydrolase), ERα (a nuclear receptor), and c-KIT (a kinase). The approach is effective, with an overall hit rate of ∼30% at 30 µM and discovery of potent compounds (IC50 <10 nM) for every target. The model makes useful predictions even for molecules dissimilar to the original DEL and the compounds identified are diverse, predominantly drug-like, and different from known ligands. Collectively, the quality and quantity of DEL selection data; the power of modern machine learning methods; and access to large, inexpensive, commercially-available libraries creates a powerful new approach for hit finding.

We have identified and characterized novel potent inhibitors of Bruton's tyrosine kinase (BTK) from a single DNA-encoded library of over 110 million compounds by using multiple parallel selection conditions, including variation in target concentration and addition of known binders to provide competition information. Distinct binding profiles were observed by comparing enrichments of library building block combinations under these conditions; one enriched only at high concentrations of BTK and was competitive with ATP, and another enriched at both high and low concentrations of BTK and was not competitive with ATP. A compound representing the latter profile showed low nanomolar potency in biochemical and cellular BTK assays. Results from kinetic mechanism of action studies were consistent with the selection profiles. Analysis of the co-crystal structure of the most potent compound demonstrated a novel binding mode that revealed a new pocket in BTK. Our results demonstrate that profile-based selection strategies using DNA-encoded libraries form the basis of a new methodology to rapidly identify small molecule inhibitors with novel binding modes to clinically relevant targets.

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The mammalian nuclear transcription factor NF-kappaB is responsible for the transcription of multiple cytokines, including the pro-inflammatory cytokines tumor necrosis factor alpha (TNF-alpha) and interleukin 6 (IL-6). Elevated levels of pro-inflammatory cytokines play an important role in the pathogenesis of inflammatory disorders such as rheumatoid arthritis (RA). Inhibition of the pro-inflammatory transcription factor NF-kappaB has therefore been identified as a possible therapeutic treatment for RA. We describe herein the synthesis and biological activity of a series of imidazoline-based scaffolds as potent inhibitors of NF-kappaB mediated gene transcription in cell culture as well as inhibitors of TNF-alpha and IL-6 production in interleukin 1 beta (IL-1beta) stimulated human blood.

Allylic oxidation of hydrocarbon substrates is the foundation of many industrial and fine-chemical production processes. Direct allylic oxidation of cycloalkenes (C5 - 8) has been widely discussed in the chemical literature. However, certain mechanistic details related to the presence of allylic free radicals have yet to be fully resolved. The corresponding copper-catalyzed allylic amination reaction has not been previously achieved. We report the first examples of this class of amination reaction using saccharin and bis-p-toluenesulfonamide as nitrogen sources and t-BuOOH and PhI(saccharinate)2 as oxidants. Kinetic studies on stoichiometric model reactions demonstrate that the oxidant is not involved in the RDS of the transformation, and studies with 3,3,6,6-tetradeuteriocyclohexene conclusively show a mechanistic dichotomy between the catalytic oxidation and amination reactions. Both oxidative processes involve η1-allyl intermediates, and regiochemical results are a consequence of discrete copper complexes. A mechanistic rationale involving allylic transpositions explains this mechanism dichotomy.