Discovery of a Potent and Selective Tyrosine Kinase 2 Inhibitor: TAK-279.

TYK2 is a key mediator of IL12, IL23, and type I interferon signaling, and these cytokines have been implicated in the pathogenesis of multiple inflammatory and autoimmune diseases such as psoriasis, rheumatoid arthritis, lupus, and inflammatory bowel diseases. Supported by compelling data from human genome-wide association studies and clinical results, TYK2 inhibition through small molecules is an attractive therapeutic strategy to treat these diseases. Herein, we report the discovery of a series of highly selective pseudokinase (Janus homology 2, JH2) domain inhibitors of TYK2 enzymatic activity. A computationally enabled design strategy, including the use of FEP+, was instrumental in identifying a pyrazolo-pyrimidine core. We highlight the utility of computational physics-based predictions used to optimize this series of molecules to identify the development candidate 30, a potent, exquisitely selective cellular TYK2 inhibitor that is currently in Phase 2 clinical trials for the treatment of psoriasis and psoriatic arthritis.

Discovery of novel N-hydroxy-2-arylisoindoline-4-carboxamides as potent and selective inhibitors of HDAC11.

N-Hydroxy-2-arylisoindoline-4-carboxamides are potent and selective inhibitors of HDAC11. The discovery, synthesis, and structure activity relationships of this novel series of inhibitors are reported. An advanced analog (FT895) displays promising cellular activity and pharmacokinetic properties that make it a useful tool to study the biology of HDAC11 and its potential use as a therapeutic target for oncology and inflammation indications.

Evolution of the physicochemical properties of marketed drugs: can history foretell the future?

A set of diverse bioactive molecules, relevant from a medicinal chemistry viewpoint, was assembled and used to navigate the physicochemical property space of new and old, or traditional drugs against a larger set of 12,000 diverse bioactive small molecules. Most drugs on the market only occupy a fraction of the property space of the bioactive molecules, whereas new molecular entities (NMEs) approved since 2002 are moving away from this traditional drug space. In this new territory, semi-empirical rules derived from knowledge accumulated from historic, older molecules are not necessarily valid and different liabilities become more prominent.

Maximizing the outcome of early ADMET models: strategies to win the drug-hunting battles?

Despite substantial changes in the drug discovery paradigm leveraged from the advancement of early ADMET technologies, an open debate remains on how full the return on investment is, along with where to balance risks to costs of lost opportunities in the clinic. Here, the recent advancement of ADMET tools, the areas where they seem to work and where their application and connection with physiology in man remain challenging are briefly reviewed. While the 'more is better' type of 'box-checking' profiling strategy is no longer viable, the key to success lies in an intelligent integration of existing in silico, in vitro and in vivo ADMET data to help generate and test hypotheses that are critical for projecting the benefits and risks of a drug candidate in the clinic. The improvement of in silico, in vitro and in vivo correlations (ISIVIVC) and best utilization of early ADMET data are far more critical and urgent than expanding capacity and portfolio in leveraging ADMET to win the drug-hunting battles in the post-genome era.

High-content micronucleus assay in genotoxicity profiling: initial-stage development and some applications in the investigative/lead-finding studies in drug discovery.

This article describes the first step toward full (that includes conditions for both absence and presence of metabolic activation) validation and drug discovery application of a 96-well, automated, high-content micronucleus (HCMN) assay. The current validation tests were performed using Chinese hamster ovary cells, in the absence of metabolic activation, against three distinct sets of drug-like compounds that represent all stages of a drug discovery pipeline. A compound categorization scheme was created based on quantitative relationships between micronucleus (MN) signals, cytotoxicity, and compound solubility. Results from initial validation compounds (n = 38) set the stage for differentiating overall positive and negative MN inducers. To delve deeper into the compound categorization process, a more extensive validation set, consisting of a larger set (n = 370) of "drug-like but less optimized" early-stage compounds, was used for further refinement of positive and negative compound categories. The predictivity and applicability of the assay for clinical stage compounds was ascertained using (n = 168) clinically developed marketed drugs or well-studied compounds. Upon full validation, a detailed analysis of results established five compound categories--NEG (negative), NEG/xx µM (negative up to the solubility limit of xx µM), WPOS (weak positive), POS (positive), and INCON (inconclusive). Furthermore, examples of lead-finding applications and ongoing investigative HCMN activities are described. A proposal is offered on how the HCMN assay can be positioned in parallel to the overall stage gates (e.g., scaffold selection, lead optimization, late-stage preclinical development) of drug discovery programs. Because of its greater throughput, 1-week turnaround time, and a substantially reduced (1-2 mg) requirement for compound consumption, the HCMN assay is appropriate for developing structure-genotoxicity relationships and for mechanistic genotoxicity studies. The assay does not replace the Organization for Economic Cooperation and Development-compliant, non-good laboratory practice in vitro MN test (e.g., slide-based MN test in TK6 lymphoblastoid cells) that is used for full characterization of lead candidates.

An algorithm-directed two-component library synthesized via solid-phase methodology yielding potent and orally bioavailable p38 MAP kinase inhibitors.

Previously we reported the identification of RPR200765A, a potent orally bioavailable pyridine-imidazole inhibitor of p38 mitogen-activated protein (MAP) kinase which suppressed paw swelling and joint pathology in streptococcal cell wall-induced arthritis. Herein, we report the use of solid-phase combinatorial organic synthesis for the parallel processing of a related pyrimidine-imidazole-based library with two points of structural variability. We report also that the application of a computer algorithm, the Monte Carlo Monomer Selection, maximized both the combinatorial synthetic efficiency and the bioavailability of the final compounds. In conjunction with the synthetic protocols, the polymer-supported quench technique was applied to the purification of the final compounds. Through rapid evaluation of the library using a p38 kinase assay and permeability assays, it was possible to identify a number of potent and orally bioavailable p38 MAP kinase inhibitors suitable for further biological investigation.