A Single-Stranded DNA-Encoded Chemical Library Based on a Stereoisomeric Scaffold Enables Ligand Discovery by Modular Assembly of Building Blocks.

A versatile and Lipinski-compliant DNA-encoded library (DEL), comprising 366 600 glutamic acid derivatives coupled to oligonucleotides serving as amplifiable identification barcodes is designed, constructed, and characterized. The GB-DEL library, constructed in single-stranded DNA format, allows de novo identification of specific binders against several pharmaceutically relevant proteins. Moreover, hybridization of the single-stranded DEL with a set of known protein ligands of low to medium affinity coupled to a complementary DNA strand results in self-assembled selectable chemical structures, leading to the identification of affinity-matured compounds.

Design and synthesis of novel thiadiazole-thiazolone hybrids as potential inhibitors of the human mitotic kinesin Eg5.

A novel series of 1,3,4-thiadiazole-thiazolone hybrids 5a-v were designed, synthesized, characterized, and evaluated against the basal and the microtubule (MT)-stimulated ATPase activity of Eg5. From the evaluated derivatives, 5h displayed the highest inhibition with an IC50 value of 13.2 µM against the MT-stimulated Eg5 ATPase activity. Similarly, compounds 5f and 5i also presented encouraging inhibition with IC50 of 17.2 µM and 20.2 µM, respectively. A brief structure-activity relationship (SAR) analysis indicated that 2-chloro and 4-nitro substituents on the phenyl ring of the thiazolone motif contributed significantly to enzyme inhibition. An in silico molecular docking study using the crystal structure of Eg5 further supported the SAR and reasoned the importance of crucial molecular protein-ligand interactions in influencing the inhibition of the ATPase activity of Eg5. The magnitude of the electron-withdrawing functionalities over the hybrids and the critical molecular interactions contributed towards higher in vitro potency of the compounds. The drug-like properties of the synthesized compounds 5a-v were also calculated based on the Lipinski's rule of five and in silico computation of key pharmacokinetic parameters (ADME). Thus, the present work unveils these hybrid molecules as novel Eg5 inhibitors with promising drug-like properties for future development.

Crystal structure of the Eg5 - K858 complex and implications for structure-based design of thiadiazole-containing inhibitors.

The thiadiazole scaffold is an important core moiety in a variety of clinical drug candidates targeting a range of diseases. For example, the 2,4,5-substituted 1,3,4-thiadiazole scaffold is present in a lead compound and at least two clinical candidates targeting the human motor protein Eg5, against neoplastic diseases. An inhibitor named K858 has in vivo activity in various mouse xenografts whereas the clinical candidates (S)-ARRY-520 and (R)-Litronesib have entered clinical trials with the former one in phase III clinical trials either alone or in combination with a proteasome inhibitor against relapsed/refractory multiple myeloma. Astonishingly, structural data are lacking for all thiadiazole-containing Eg5 inhibitors. Here we report the structure determination of two crystal forms of the ternary Eg5-ADP-K858 complex, locking the motor in the so-called final inhibitor bound state, thus blocking ADP release, a crucial stage for Eg5 activity. K858 acts at the established allosteric inhibitor-binding pocket formed of helix α2, loop L5 and helix α3. The structure of the complex has far reaching consequences for thiadiazole containing Eg5 inhibitors. For example, we could rationalise the structure-activity relationship in the crucial 5-position of the thiadiazole scaffold and the complex will serve in the future as a basis for strucutre-based drug design.

Ligand- and structure-based in silico studies to identify kinesin spindle protein (KSP) inhibitors as potential anticancer agents.

Kinesin spindle protein (KSP) belongs to the kinesin superfamily of microtubule-based motor proteins. KSP is responsible for the establishment of the bipolar mitotic spindle which mediates cell division. Inhibition of KSP expedites the blockade of the normal cell cycle during mitosis through the generation of monoastral MT arrays that finally cause apoptotic cell death. As KSP is highly expressed in proliferating/cancer cells, it has gained considerable attention as a potential drug target for cancer chemotherapy. Therefore, this study envisaged to design novel KSP inhibitors by employing computational techniques/tools such as pharmacophore modelling, virtual database screening, molecular docking and molecular dynamics. Initially, the pharmacophore models were generated from the data-set of highly potent KSP inhibitors and the pharmacophore models were validated against in house test set ligands. The validated pharmacophore model was then taken for database screening (Maybridge and ChemBridge) to yield hits, which were further filtered for their drug-likeliness. The potential hits retrieved from virtual database screening were docked using CDOCKER to identify the ligand binding landscape. The top-ranked hits obtained from molecular docking were progressed to molecular dynamics (AMBER) simulations to deduce the ligand binding affinity. This study identified MB-41570 and CB-10358 as potential hits and evaluated these experimentally using in vitro KSP ATPase inhibition assays.