Efforts towards an On-Target Version of the Groebke-Blackburn-Bienaymé (GBB) Reaction for Discovery of Druglike Urokinase (uPA) Inhibitors.

Target-guided synthesis (TGS) has emerged as a promising strategy in drug discovery. Although reported examples of TGS generally involve two-component reactions, there is a strong case for developing target-guided versions of three-component reactions (3CRs) because of their potential to deliver highly diversified druglike molecules. To this end, the Groebke-Blackburn-Bienaymé reaction was selected as a model 3CR. We recently reported a series of druglike urokinase inhibitors, and these serve as reference compounds in the present study. Due to the limited number of literature reports on target-guided 3CRs, multiple experimental parameters were optimized here. Most challenging was the formation of imine intermediates under near-physiological conditions. This aspect was addressed by exploring chemical imine stabilization strategies. Notably, imines are also crucial intermediates of other 3CRs. Such systematic studies are strongly required for further development of the TGS domain but are largely absent in the literature. Hence, this work is intended as a reference for future multicomponent-based TGS studies.

Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screening.

Spectrophores are novel descriptors that are calculated from the three-dimensional atomic properties of molecules. In our current implementation, the atomic properties that were used to calculate spectrophores include atomic partial charges, atomic lipophilicity indices, atomic shape deviations and atomic softness properties. This approach can easily be widened to also include additional atomic properties. Our novel methodology finds its roots in the experimental affinity fingerprinting technology developed in the 1990's by Terrapin Technologies. Here we have translated it into a purely virtual approach using artificial affinity cages and a simplified metric to calculate the interaction between these cages and the atomic properties. A typical spectrophore consists of a vector of 48 real numbers. This makes it highly suitable for the calculation of a wide range of similarity measures for use in virtual screening and for the investigation of quantitative structure-activity relationships in combination with advanced statistical approaches such as self-organizing maps, support vector machines and neural networks. In our present report we demonstrate the applicability of our novel methodology for scaffold hopping as well as virtual screening.

Inhibitor screening and enzymatic activity determination for autophagy target Atg4B using a gel electrophoresis-based assay.

Atg4B is a cysteine hydrolase that plays a key role in autophagy. Although it has been proposed as an attractive drug target, inhibitor discovery has proven highly challenging. The absence of a standardized, easily implementable enzyme activity/inhibition assay for Atg4B most likely contributes to this situation. Therefore, three different assay types for Atg4B activity/inhibition quantification were first compared: (1) an approach using fluorogenic Atg4B-substrates, (2) an in-gel densitometric quantification assay and (3) a thermal shift protocol. The gel-based approach showed the most promising results and was validated for screening of potential Atg4B inhibitors. A set of 8 literature inhibitors was included. Remarkably, in our hands only 2 literature references were found to have measurable Atg4B affinity. Furthermore, a fragment library (n = 182) was tested for Atg4B inhibition. One library member showed inhibition at high micromolar concentration and was found fit for further, fragment-based inhibitor design.

Substrate Activity Screening (SAS) and Related Approaches in Medicinal Chemistry.

Substrate activity screening (SAS) was presented a decade ago by Ellman and co-workers as a straightforward methodology for the identification of fragment-sized building blocks for enzyme inhibitors. Ever since, SAS and variations derived from it have been successfully applied to the discovery of inhibitors of various families of enzymatically active drug targets. This review covers key achievements and challenges of SAS and related methodologies, including the modified substrate activity screening (MSAS) approach. Special attention is given to the kinetic and thermodynamic aspects of these methodologies, as a thorough understanding thereof is crucial for successfully transforming the identified fragment-sized hits into potent inhibitors.

Discovery and SAR of Novel and Selective Inhibitors of Urokinase Plasminogen Activator (uPA) with an Imidazo[1,2-a]pyridine Scaffold.

Urokinase plasminogen activator (uPA) is a biomarker and therapeutic target for several cancer types. Its inhibition is regarded as a promising, noncytotoxic approach in cancer therapy by blocking growth and/or metastasis of solid tumors. Earlier, we reported the modified substrate activity screening (MSAS) approach and applied it for the identification of fragments with affinity for uPA's S1 pocket. Here, these fragments are transformed into a novel class of uPA inhibitors with an imidazo[1,2-a]pyridine scaffold. The SAR for uPA inhibition around this scaffold is explored, and the best compounds in the series have nanomolar uPA affinity and selectivity with respect to the related trypsin-like serine proteases (thrombin, tPA, FXa, plasmin, plasma kallikrein, trypsin, FVIIa). Finally, the approach followed for translating fragments into small molecules with a decorated scaffold architecture is conceptually straightforward and can be expected to be broadly applicable in fragment-based drug design.

Repositioning the substrate activity screening (SAS) approach as a fragment-based method for identification of weak binders.

Fragment-based drug discovery (FBDD) has evolved into an established approach for "hit" identification. Typically, most applications of FBDD depend on specialised cost- and time-intensive biophysical techniques. The substrate activity screening (SAS) approach has been proposed as a relatively cheap and straightforward alternative for identification of fragments for enzyme inhibitors. We have investigated SAS for the discovery of inhibitors of oncology target urokinase (uPA). Although our results support the key hypotheses of SAS, we also encountered a number of unreported limitations. In response, we propose an efficient modified methodology: "MSAS" (modified substrate activity screening). MSAS circumvents the limitations of SAS and broadens its scope by providing additional fragments and more coherent SAR data. As well as presenting and validating MSAS, this study expands existing SAR knowledge for the S1 pocket of uPA and reports new reversible and irreversible uPA inhibitor scaffolds.