A potent seven-membered cyclic BTK (Bruton's tyrosine Kinase) chiral inhibitor conceived by structure-based drug design to lock its bioactive conformation.

A seven-membered cyclic chiral analog of potent lead BTK inhibitor 1 was envisioned by structure-based design to lock the molecule into its bioactive conformation. For the elaboration of the seven-membered ring, compound 1 pyridone 6-position was substituted with the purpose to prevent formation of reactive metabolites. Eventually, the cyclic chiral compound 3 maintained the high potency of 1, and most importantly showed no activity at either GSH or TDI assays suggesting no formation of reactive metabolites.

Design and synthesis of selective, dual fatty acid binding protein 4 and 5 inhibitors.

Dual inhibition of fatty acid binding proteins 4 and 5 (FABP4 and FABP5) is expected to provide beneficial effects on a number of metabolic parameters such as insulin sensitivity and blood glucose levels and should protect against atherosclerosis. Starting from a FABP4 selective focused screening hit, biostructure information was used to modulate the selectivity profile in the desired way and to design potent dual FABP4/5 inhibitors with good selectivity against FABP3. With very good pharmacokinetic properties and no major safety alerts, compound 12 was identified as a suitable tool compound for further in vivo investigations.

Fragment library design: using cheminformatics and expert chemists to fill gaps in existing fragment libraries.

Fragment based screening (FBS) has emerged as a mainstream lead discovery strategy in academia, biotechnology start-ups, and large pharma. As a prerequisite of FBS, a structurally diverse library of fragments is desirable in order to identify chemical matter that will interact with the range of diverse target classes that are prosecuted in contemporary screening campaigns. In addition, it is also desirable to offer synthetically amenable starting points to increase the probability of a successful fragment evolution through medicinal chemistry.

Discovery of Potent and Orally Active p53-MDM2 Inhibitors RO5353 and RO2468 for Potential Clinical Development.

The development of small-molecule MDM2 inhibitors to restore dysfunctional p53 activities represents a novel approach for cancer treatment. In a previous communication, the efforts leading to the identification of a non-imidazoline MDM2 inhibitor, RG7388, was disclosed and revealed the desirable in vitro and in vivo pharmacological properties that this class of pyrrolidine-based inhibitors possesses. Given this richness and the critical need for a wide variety of chemical structures to ensure success in the clinic, research was expanded to evaluate additional derivatives.

Discovery of camphor-derived pyrazolones as 11β-hydroxysteroid dehydrogenase type 1 inhibitors.

Starting from screening hit, (4S,7R)-1,7,8,8-tetramethyl-2-phenyl-1,2,4,5,6,7-hexahydro-4,7-methano-indazol-3-one (7), we optimized the potency and pharmacokinetic properties. This led to the identification of compounds with good in vivo activity in a mouse pharmacodynamic model of inhibition of 11βHSD1.

Discovery of pyrazolo[3,4-d]pyrimidine derivatives as GPR119 agonists.

We designed and synthesized a novel series of phenylamino- and phenoxy-substituted pyrazolo[3,4-d]pyrimidine derivatives as GPR119 agonists. SAR studies indicated that electron-withdrawing substituents on the phenyl ring are important for potency and full efficacy. Compound 26 combined good potency with a promising pharmacokinetic profile in mice, and lowered the glucose excursion in mice in an oral glucose-tolerance test.

In vivo emergence of a novel mutant L159F/L320F in the NS5B polymerase confers low-level resistance to the HCV polymerase inhibitors mericitabine and sofosbuvir.

Background: Resistance to mericitabine (prodrug of HCV NS5B polymerase inhibitor PSI-6130) is rare and conferred by the NS5B S282T mutation.

Methods: Serum HCV RNA from patients who experienced viral breakthrough, partial response, or nonresponse in 2 clinical trials in which patients received mericitabine plus peginterferon alfa-2a (40KD)/ribavirin were analyzed by population and clonal sequence analysis as well as phenotypic assay for assessment of in vivo mericitabine resistance.

Results: Among 405 patients treated with mericitabine plus peginterferon alfa-2a/ribavirin in PROPEL and JUMP-C, virologic breakthrough or nonresponse were not observed; 12 patients experienced a partial response.

Potent MCH-1 receptor antagonists from cis-1,4-diaminocyclohexane-derived indane analogs.

Benzimidazole and indane are the two key fragments in our potent and selective MCH-1 receptor (MCHR1) antagonists. To identify novel linkers connecting the two fragments, we investigated diamino-cycloalkane-derived analogs and discovered highly potent antagonists with cis-1,4-diaminocyclohexane as a unique spacer in this chemical class. Structural overlay suggested that cis-1-substituted-4-aminocyclohexane functions as a bioisostere of 4-substituted-piperidine and that the active conformation adopts a U-shaped orientation.

Design of libraries targeting protein-protein interfaces.

TARGETING PPIS: A novel strategy for designing libraries targeting protein-protein interfaces enabled us to identify diverse chemical entry points to interact with therapeutic targets for which conventional screening libraries delivered no or only few hit structures. The concept was experimentally validated by early hit evaluation in biochemical screens and early ADMET profiling.

A simple statistical test to infer the causality of target/phenotype correlation from small molecule phenotypic screens.

Motivation: Cell-based phenotypic screens using small molecule inhibitors is an important technology for early drug discovery if the relationship between the disease-related cellular phenotype and inhibitors' biological targets can be determined. However, chemical inhibitors are rightfully believed to be less specific than perturbation by biological agents, such as antibody and small inference RNA. Therefore, it is often a challenge in small molecule phenotypic screening to infer the causality between a particular cellular phenotype and the inactivation of the responsible protein due to the off-target effect of the inhibitors.

Discovery of 1-arylcarbonyl-6,7-dimethoxyisoquinoline derivatives as glutamine fructose-6-phosphate amidotransferase (GFAT) inhibitors.

Through high throughput screening and subsequent hit identification and optimization, we synthesized a series of 1-arylcarbonyl-6,7-dimethoxyisoquinoline derivatives as the first reported potent and reversible GFAT inhibitors. SAR studies of this class of compounds indicated significant impact on GFAT inhibition potency by substitutions on the A-ring and C-ring. The ketone group was found to be necessary for high potency.

Overview of artificial neural networks.

The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to uncover the hidden causal relationships between single or multiple responses and a large set of properties. The ANN is one of many versatile tools to meet the demand in drug discovery modeling.

Automated pharmacophore query optimization with genetic algorithms - a case study using the MC4R system.

Due to the recent availability of high quality small molecule databases, such as ZINC and PubChem,1,2 virtual screening is playing an even more important role in identifying biologically relevant molecules in drug discovery campaigns. The success of pharmacophore-based virtual screening (PBVS) relies largely on the accuracy and specificity of the pharmacophore query employed. Deriving a pharmacophore query from a single structure inevitably introduces uncertainty, and the derived query is unlikely to be optimal against every collection of input compounds, especially when it is desired to discriminate among compounds with similar chemical structures.

Discovery of [4-Amino-2-(1-methanesulfonylpiperidin-4-ylamino)pyrimidin-5-yl](2,3-difluoro-6- methoxyphenyl)methanone (R547), a potent and selective cyclin-dependent kinase inhibitor with significant in vivo antitumor activity.

The cyclin-dependent kinases (CDKs) and their cyclin partners are key regulators of the cell cycle. Since deregulation of CDKs is found with high frequency in many human cancer cells, pharmacological inhibition of CDKs with small molecules has the potential to provide an effective strategy for the treatment of cancer. The 2,4-diamino-5-ketopyrimidines 6 reported here represent a novel class of potent and ATP-competitive inhibitors that selectively target the cyclin-dependent kinase family.

Enhancing specificity and sensitivity of pharmacophore-based virtual screening by incorporating chemical and shape features--a case study of HIV protease inhibitors.

Virtual screening (VS), if applied appropriately, could significantly shorten the hit identification and hit-to-lead processes in drug discovery. Recently, the version of VS that is based upon similarity to a pharmacophore has received increased attention. This is due to two major factors: first, the public availability of the ZINC1 conformational database has provided a large selection pool with high-quality and purchasable small molecules; second, new technology has enabled a more accurate and flexible definition of pharmacophore models coupled with an efficient search speed.

Development of neural network QSPR models for Hansch substituent constants. 2. Applications in QSAR studies of HIV-1 reverse transcriptase and dihydrofolate reductase inhibitors.

In this paper, the applications of a Hansch substituent constant predictor(1) to Quantitative Structure-Activity Relationships (QSAR) studies of E. coli dihydrofolate reductase (DHFR) inhibitors 2,4-diamino-5-(substituted-benzyl)pyrimidines as well as HIV-1 reverse transcriptase (RT) inhibitors 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine (HEPT) derivatives are demonstrated. Both data sets contain functional groups for which the substituent constants (pi, MR, F and R) could not be found in standard substituent constant tables.

Development of neural network QSPR models for Hansch substituent constants. 1. Method and validations.

In an attempt to develop predictive models for Hansch substituent constants for less common substituents, neural network QSPR (Quantitative Structure-Property Relationship) studies were conducted to correlate Hansch substituent constants for hundreds of chemically diverse functional groups with two different molecular descriptor sets. The Hansch substituent constants under study were pi, MR, F and R, describing the hydrophobic, steric/polarizability, and electronic (field and resonance) characteristics of the substituents, respectively. E-state descriptors were used for pi and MR, while the molecular descriptor set based upon the approach of Kvasnicka, Sklenak, and Pospichal (J.