The first total syntheses of higher-order members of the polypyrrolidinoindoline alkaloid family are reported. The synthesis of quadrigemine C (1) and psycholeine (3) begins with synthetic meso-chimonanthine (4), which is synthesized from commercially available oxindole and isatin in 13 steps and 35% overall yield. Double Stille cross coupling of diiodide 7, available in three steps from 4, with vinylstannane 8 produces dibutenanilide 9. Double catalytic asymmetric Heck cyclization of 9 simultaneously installs the two peripheral quaternary stereocenters and desymmetrizes this advanced meso precursor to deliver the chiral, decacyclic intermediate 11 in 62% yield and 90% ee. In two additional steps, 11 is converted to 1, which upon treatment with acid generates 3. The synthesis of quadrigemine C (1), which rigorously confirms its relative and absolute configuration, was executed in 19 linear steps (2% overall yield) from commercially available starting materials.

A prevalent observation in high-throughput screening and drug discovery programs is the inhibition of protein function by small-molecule compound aggregation. Here, we present the X-ray structural description of aggregation-based inhibition of a protein-protein interaction involving tumor necrosis factor α (TNFα). An ordered conglomerate of an aggregating small-molecule inhibitor (JNJ525) induces a quaternary structure switch of TNFα that inhibits the protein-protein interaction between TNFα and TNFα receptors. SPD-304 may employ a similar mechanism of inhibition.

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At the onset of a drug discovery program, the goal is to identify novel compounds with appropriate chemical features that can be taken forward as lead series. Here, we describe three prospective case studies, Bruton Tyrosine Kinase (BTK), RAR-Related Orphan Receptor γ t (RORγt), and Human Leukocyte Antigen DR isotype (HLA-DR) to illustrate the positive impact of high throughput virtual screening (HTVS) on the successful identification of novel chemical series. Each case represents a project with a varying degree of difficulty due to the amount of structural and ligand information available internally or in the public domain to utilize in the virtual screens. We show that HTVS can be effectively employed to identify a diverse set of potent hits for each protein system even when the gold standard, high resolution structural data or ligand binding data for benchmarking, is not available.

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