Dual A2A/A2B Adenosine Receptor Antagonist M1069 Counteracts Immunosuppressive Mechanisms of Adenosine and Reduces Tumor Growth In Vivo.

While A2A adenosine receptor (AR) was considered as a major contributor to adenosine-mediated immunosuppression, A2B, having the lowest affinity to adenosine, has also emerged as a potential contributor to tumor promotion. Therefore, in adenosine-rich tumor microenvironment (TME), where A2B could be complementary and/or compensatory to A2A, simultaneous targeting of A2A and A2B ARs can provide higher potential for cancer immunotherapy. We developed M1069-a highly selective dual antagonist of the A2A and A2B AR.

Discovery of Cycloalkyl[]thiophenes as Novel Scaffolds for Hypoxia-Inducible Factor-2α Inhibitors.

Hypoxia-inducible factors (HIFs) are heterodimeric transcription factors induced in diverse pathophysiological settings. Inhibition of HIF-2α has become a strategy for cancer treatment since the discovery that small molecules, upon binding into a small cavity of the HIF-2α PAS B domain, can alter its conformation and disturb the activity of the HIF dimer complex. Herein, the design, synthesis, and systematic SAR exploration of cycloalkyl[]thiophenes as novel HIF-2α inhibitors are described, providing the first chemotype featuring an alkoxy-aryl scaffold.

Identification of solubility-limited absorption of oral anticancer drugs using PBPK modeling based on rat PK and its relevance to human.

Solubility is one of the key parameters that is optimized during drug discovery to ensure sufficient drug concentration in systemic circulation and to achieve the desired pharmacological response. We recently reported the application of PBPK analysis of early clinical pharmacokinetic data to identify drugs whose absorption are truly limited by solubility. In this work, we selected ten anticancer drugs that exhibit poor in vitro solubility to explore the utility of this approach to identify solubility-limited absorption based on rat pharmacokinetic data and compare the findings to human data.

Improved Prediction of in Vivo Supersaturation and Precipitation of Poorly Soluble Weakly Basic Drugs Using a Biorelevant Bicarbonate Buffer in a Gastrointestinal Transfer Model.

The characterization of intestinal dissolution of poorly soluble drugs represents a key task during the development of both new drug candidates and drug products. The bicarbonate buffer is considered as the most biorelevant buffer for simulating intestinal conditions. However, because of its complex nature, being the volatility of CO, it has only been rarely used in the past.

Prediction of volume of distribution in humans: analysis of eight methods and their application in drug discovery.

The performance of eight different methods to predict human volume of distribution (VD) using a large data set ( > 100) was evaluated.The accuracy was assessed by the end points % within two-fold and absolute average fold error (AAFE). The ability to rank order was accessed by the σ and bias was examined using average fold error.

Structure-based design of 7-azaindole-pyrrolidine amides as inhibitors of 11β-hydroxysteroid dehydrogenase type I.

Indole-pyrrolidines were identified as inhibitors of 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) by high-throughput screening. Optimisation of the initial hit through structure-based design led to 7-azaindole-derivatives, with the best analogues displaying single digit nanomolar IC(50) potency. The modeling hypotheses were confirmed by solving the X-ray co-crystal structure of one of the lead compounds.

Discovery and structure-guided drug design of inhibitors of 11beta-hydroxysteroid-dehydrogenase type I based on a spiro-carboxamide scaffold.

Spiro-carboxamides were identified as inhibitors of 11beta-hydroxysteroid-dehydrogenase type 1 by high-throughput screening. Structure-based drug design was used to optimise the initial hit yielding a sub-nanomolar IC(50) inhibitor (0.5nM) on human 11beta-HSD1 with a high binding efficiency index (BEI of 32.

Discovery and structure-activity relationships of pentanedioic acid diamides as potent inhibitors of 11beta-hydroxysteroid dehydrogenase type I.

Benzylamides of pentanedioic acid were identified as inhibitors of 11beta-hydroxysteroid dehydrogenase type 1 (11beta-HSD1) by high-throughput screening. Optimisation to 2-adamantyl amides yielded inhibitors with single digit nanomolar IC(50)s on the 11beta-HSD1 human isoform. The hydroxy adamantyl amide lead compound was selective against 11beta-hydroxysteroid dehydrogenase type 2 (selectivity ratio >1000) and displayed good inhibition of 11beta-HSD1 (IC(50)<0.