ABSTRACT
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.
Subject(s)
Pyrroline Carboxylate Reductases , delta-1-Pyrroline-5-Carboxylate Reductase , Pyrroline Carboxylate Reductases/chemistry , Pyrroline Carboxylate Reductases/metabolism , Crystallography, X-Ray , Binding Sites , ProlineABSTRACT
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.
ABSTRACT
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.
Subject(s)
Casein Kinase II/antagonists & inhibitors , Drug Design , Imidazoles/chemistry , Protein Kinase Inhibitors/chemistry , Protein Kinase Inhibitors/pharmacology , Pyrimidines/chemistry , Pyrimidines/pharmacology , Casein Kinase II/chemistry , Casein Kinase II/metabolism , Ligands , Molecular Docking Simulation , Protein Conformation , Protein Kinase Inhibitors/metabolism , Pyrimidines/metabolism , Structure-Activity RelationshipABSTRACT
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 µÐ and 7.2 µÐ, respectively. It was established that the inhibitory activity of compounds against pathogenic LeuRS is 10-fold better, than for human enzyme.
Subject(s)
Anti-Bacterial Agents/chemistry , Anti-Bacterial Agents/pharmacology , Leucine-tRNA Ligase/antagonists & inhibitors , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/enzymology , Triazines/pharmacology , Anti-Bacterial Agents/analysis , Anti-Bacterial Agents/isolation & purification , Dose-Response Relationship, Drug , Humans , Inhibitory Concentration 50 , Leucine-tRNA Ligase/metabolism , Molecular Docking Simulation , Molecular Structure , Structure-Activity Relationship , Triazines/chemical synthesis , Triazines/chemistryABSTRACT
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.