Novel Fragment Inhibitors of PYCR1 from Docking-Guided X-ray Crystallography.

The proline biosynthetic enzyme Δ1-pyrroline-5-carboxylate (P5C) reductase 1 (PYCR1) is one of the most consistently upregulated enzymes across multiple cancer types and central to the metabolic rewiring of cancer cells. Herein, we describe a fragment-based, structure-first approach to the discovery of PYCR1 inhibitors. Thirty-seven fragment-like carboxylic acids in the molecular weight range of 143-289 Da were selected from docking and then screened using X-ray crystallography as the primary assay. Strong electron density was observed for eight compounds, corresponding to a crystallographic hit rate of 22%. The fragments are novel compared to existing proline analog inhibitors in that they block both the P5C substrate pocket and the NAD(P)H binding site. Four hits showed inhibition of PYCR1 in kinetic assays, and one has lower apparent IC50 than the current best proline analog inhibitor. These results show proof-of-concept for our inhibitor discovery approach and provide a basis for fragment-to-lead optimization.

Computer-aided design of muscarinic acetylcholine receptor M3 inhibitors: Promising compounds among trifluoromethyl containing hexahydropyrimidinones/thiones.

The new high selective mAChRs M3 inhibitors with IC50 in nanomolecular ranges, which can be the prototypes for effective COPD and asthma treatment drugs, were discovered with computational approaches among trifluoromethyl containing hexahydropyrimidinones/thiones. Compounds [6-(4-ethoxy-3-methoxy-phenyl)-4-hydroxy-2-thioxo-4-(trifluoromethyl)hexahydropyrimidin-5-yl]-phenyl-methanone (THPT-1) and 5-benzoyl-6-(3,4-dimethoxyphenyl)-4-hydroxy-4-(trifluoromethyl)hexahydropyrimidin-2-one (THPO-4) have been proved to be a highly effective (with IC50 values of 1.62 ⋅ 10-7  M and 3.09 ⋅ 10-9  M, respectively) at the same concentrations significantly competitive inhibit the signal conduction through mAChR3 in comparison with ipratropium bromide, without significant effect on mAChR2, nicotinic cholinergic and adrenergic receptors.

Creation of targeted compound libraries based on 3D shape recognition.

In the emerging field of drug discovery, rapid virtual screening methods become extremely valuable, especially when dealing with ultra-large databases of organic small bioactive molecules. In this work, we present a fast, computationally resource-efficient, and simple workflow for screening targeted compound libraries generated from ultra-large virtual chemical space. This workflow aims to find compounds with similar molecular 3D shapes with reference ones, and at the same time to expand chemical diversity and to identify new and potentially active scaffolds. This pipeline ensures the enrichment of the generated libraries with novel chemotypes. Also, it was shown that delicate tailoring of the physicochemical parameters of the search set ensures that all library compounds will possess desired property distributions. A visual inspection has shown that found structures bind to the receptor in the same way as the reference ones. Using our screening workflow, we have created a number of conventional protein-targeted libraries: the GPCRs Targeted Library (531 K compounds) and the Protein Kinases Targeted Library (113 K compounds). The described pipeline and scripts are freely accessible at: https://github.com/ChemSpace-LLC/usrcat_sim .

Pharmacophore modeling, docking and molecular dynamics simulation for identification of novel human protein kinase C beta (PKCß) inhibitors.

Protein kinase Cß (PKCß) is considered as an attractive molecular target for the treatment of COVID-19-related acute respiratory distress syndrome (ARDS). Several classes of inhibitors have been already identified. In this article, we developed and validated ligand-based PKCß pharmacophore models based on the chemical structures of the known inhibitors. The most accurate pharmacophore model, which correctly predicted more than 70% active compounds of test set, included three aromatic pharmacophore features without vectors, one hydrogen bond acceptor pharmacophore feature, one hydrophobic pharmacophore feature and 158 excluded volumes. This pharmacophore model was used for virtual screening of compound collection in order to identify novel potent PKCß inhibitors. Also, molecular docking of compound collection was performed and 28 compounds which were selected simultaneously by two approaches as top-scored were proposed for further biological research. Supplementary Information: The online version contains supplementary material available at 10.1007/s11224-022-02075-y.

Dihydrobenzo[4,5]imidazo[1,2-a]pyrimidine-4-ones as a new class of CK2 inhibitors.

Identification of new small molecules inhibiting protein kinase CK2 is highly required for the study of this protein's functions in cell and for the further development of novel pharmaceuticals against a variety of disorders associated with CK2 activity. In this article, a virtual screening of a random small-molecule library was performed and 12 compounds were initially selected for biochemical tests toward CK2. Among them, the most active compound 1 ([Formula: see text]) belonged to dihydrobenzo[4,5]imidazo[1,2-a]pyrimidine-4-ones. The complex of this compound with CK2 was analyzed, and key ligand-enzyme interactions were determined. Then, a virtual screening of 231 dihydrobenzo[4,5]imidazo[1,2-a]pyrimidine-4-one derivatives was performed and 37 compounds were chosen for in vitro testing. It was found that 32 compounds inhibit CK2 with [Formula: see text] values from 2.5 to 7.5 [Formula: see text]. These results demonstrate that dihydrobenzo[4,5]imidazo[1,2-a]pyrimidine-4-one is a novel class of CK2 inhibitors.

Identification of Mycobacterium tuberculosis leucyl-tRNA synthetase (LeuRS) inhibitors among the derivatives of 5-phenylamino-2H-[1,2,4]triazin-3-one.

The increase of antibiotic resistance amongst Mycobacterium tuberculosis strains has become one of the most pressing problems of modern medicine. Therefore, the search of antibiotics against M. tuberculosis with novel mechanisms of action is very important. We have identified inhibitors of M. tuberculosis leucyl-tRNA synthetase (LeuRS) among the derivatives of 5-phenylamino-2H-[1,2,4]triazin-3-one. The most active compounds 5-(5-chloro-2-hydroxy-phenylamino)-6-methyl-2H-[1,2,4]triazin-3-one and 5-(5-chloro-2-hydroxy-phenylamino)-2H-[1,2,4]triazin-3-one inhibit M. tuberculosis LeuRS with IC50 of 7.6 µÐœ and 7.2 µÐœ, respectively. It was established that the inhibitory activity of compounds against pathogenic LeuRS is 10-fold better, than for human enzyme.

ASK1 pharmacophore model derived from diverse classes of inhibitors.

The three-dimensional pharmacophore model of apoptosis signal-regulating kinase 1 (ASK1) inhibitors has been developed with PharmaGist program. The positions of pharmacophore features in the model correspond to conformations of ASK1 highly active inhibitors in which they interact with ATP-binding site of ASK1. The generated pharmacophore model allows accurately predict active and inactive compounds and can be of great use for virtual screening aimed at discovering novel ASK1 inhibitors.