Identification of Novel Antistaphylococcal Hit Compounds Targeting Sortase A.

Staphylococcus aureus (S. aureus) is a causative agent of many hospital- and community-acquired infections with the tendency to develop resistance to all known antibiotics. Therefore, the development of novel antistaphylococcal agents is of urgent need. Sortase A is considered a promising molecular target for the development of antistaphylococcal agents. The main aim of this study was to identify novel sortase A inhibitors. In order to find novel antistaphylococcal agents, we performed phenotypic screening of a library containing 15512 compounds against S. aureus ATCC43300. The molecular docking of hits was performed using the DOCK program and 10 compounds were selected for in vitro enzymatic activity inhibition assay. Two inhibitors were identified, N,N-diethyl-N'-(5-nitro-2-(quinazolin-2-yl)phenyl)propane-1,3-diamine (1) and acridin-9-yl-(1H-benzoimidazol-5-yl)-amine (2), which decrease sortase A activity with IC50 values of 160.3 µM and 207.01 µM, respectively. It was found that compounds 1 and 2 possess antibacterial activity toward 29 tested multidrug resistant S. aureus strains with MIC values ranging from 78.12 to 312.5 mg/L. These compounds can be used for further structural optimization and biological research.

Dual-targeted hit identification using pharmacophore screening.

Mycobacterium tuberculosis infection remains a major cause of global morbidity and mortality due to the increase of antibiotics resistance. Dual/multi-target drug discovery is a promising approach to overcome bacterial resistance. In this study, we built ligand-based pharmacophore models and performed pharmacophore screening in order to identify hit compounds targeting simultaneously two enzymes-M. tuberculosis leucyl-tRNA synthetase (LeuRS) and methionyl-tRNA synthetase (MetRS). In vitro aminoacylation assay revealed five compounds from different chemical classes inhibiting both enzymes. Among them the most active compound-3-(3-chloro-4-methoxy-phenyl)-5-[3-(4-fluoro-phenyl)-[1,2,4]oxadiazol-5-yl]-3H-[1,2,3]triazol-4-ylamine (1) inhibits mycobacterial LeuRS and MetRS with IC50 values of 13 µM and 13.8 µM, respectively. Molecular modeling study indicated that compound 1 has similar binding mode with the active sites of both aminoacyl-tRNA synthetases and can be valuable compound for further chemical optimization in order to find promising antituberculosis agents.

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.

Discovery of potent anti-tuberculosis agents targeting leucyl-tRNA synthetase.

Tuberculosis is a serious infectious disease caused by human pathogen bacteria Mycobacterium tuberculosis. Bacterial drug resistance is a very significant medical problem nowadays and development of novel antibiotics with different mechanisms of action is an important goal of modern medical science. Leucyl-tRNA synthetase (LeuRS) has been recently clinically validated as antimicrobial target. Here we report the discovery of small-molecule inhibitors of M. tuberculosis LeuRS. Using receptor-based virtual screening we have identified six inhibitors of M. tuberculosis LeuRS from two different chemical classes. The most active compound 4-{[4-(4-Bromo-phenyl)-thiazol-2-yl]hydrazonomethyl}-2-methoxy-6-nitro-phenol (1) inhibits LeuRS with IC50 of 6µM. A series of derivatives has been synthesized and evaluated in vitro toward M. tuberculosis LeuRS. It was revealed that the most active compound 2,6-Dibromo-4-{[4-(4-nitro-phenyl)-thiazol-2-yl]-hydrazonomethyl}-phenol inhibits LeuRS with IC50 of 2.27µM. All active compounds were tested for antimicrobial effect against M. tuberculosis H37Rv. The compound 1 seems to have the best cell permeability and inhibits growth of pathogenic bacteria with IC50=10.01µM and IC90=13.53µM.

Design, synthesis and evaluation of 3-quinoline carboxylic acids as new inhibitors of protein kinase CK2.

In this article, the derivatives of 3-quinoline carboxylic acid were studied as inhibitors of protein kinase CK2. Forty-three new compounds were synthesized. Among them 22 compounds inhibiting CK2 with IC50 in the range from 0.65 to 18.2 µM were identified. The most active inhibitors were found among tetrazolo-quinoline-4-carboxylic acid and 2-aminoquinoline-3-carboxylic acid derivatives.

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.

Identification of apoptosis signal-regulating kinase 1 (ASK1) inhibitors among the derivatives of benzothiazol-2-yl-3-hydroxy-5-phenyl-1,5-dihydro-pyrrol-2-one.

Apoptosis signal-regulating kinase 1 (ASK1) plays important roles in the pathogenesis of type 1 and type 2 diabetes, autoimmune disorders, cancer and neurodegenerative diseases suggesting that small compounds inhibiting ASK1 could be used for the treatment of these pathologies. We have identified novel chemical class of ASK1 inhibitors, namely benzothiazol-2-yl-3-hydroxy-5-phenyl-1,5-dihydro-pyrrol-2-one, using molecular modeling techniques. It was found that the most active compound 1-(6-fluoro-benzothiazol-2-yl)-3-hydroxy-5-[3-(3-methyl-butoxy)-phenyl]-4-(2-methyl-2,3-dihydro-benzofuran-5-carbonyl)-1,5-dihydro-pyrrol-2-one (BPyO-34) inhibits ASK1 with IC50 of 0.52µM in vitro in kinase assay. The structure-activity relationships of 34 derivatives of benzothiazol-2-yl-3-hydroxy-5-phenyl-1,5-dihydro-pyrrol-2-one have been studied and binding mode of this chemical class has been proposed.

Design, synthesis and biological evaluation of naphthostyril derivatives as novel protein kinase FGFR1 inhibitors.

New class of FGFR1 kinase inhibitors with naphthostyril heterocycle has been identified. A series of N-phenylnaphthostyril-1-sulfonamides has been synthesized and tested in vitro. It was revealed that the most active compound N-(4-hydroxyphenyl)naphthostyril-1-sulfonamide inhibited FGFR1 with IC50 of 2 µM. In our preliminary studies, N-phenylnaphthostyril-1-sulfonamides demonstrated selectivity of FGFR1 inhibition and antiproliferative activity on cancer cell line. N-phenylnaphthostyril-1-sulfonamides have a good potential for further development as anticancer agents.

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.

Design, synthesis and evaluation of 2-phenylisothiazolidin-3-one-1,1-dioxides as a new class of human protein kinase CK2 inhibitors.

The synthesis and in vitro evaluation of 40 new 2-phenylisothiazolidin-3-one-1,1-dioxide derivatives are described. The optimization based on biological screening data and molecular modeling resulted in a 10-fold increase in inhibitory activity compared with previously reported inhibitors of this class and led to the identification of 3-{[2-chloro-4-(1,1-dioxido-3-oxoisothiazolidin-2-yl)benzoyl]amino}benzoic acid, a potent inhibitor of human protein kinase CK2 (ІC50 = 1.5 µM).

Design, synthesis and biological evaluation of 2-aminopyrimidinones and their 6-aza-analogs as a new class of CK2 inhibitors.

In order to find the new potent CK2 inhibitors the 60 derivatives of 2-aminopyrimidinone and their 6-aza-substituted analogs were synthesized and tested in vitro. Among them, the most efficient inhibitor 2-hydroxy-5-[4-(4-methoxyphehyl)-6-oxo-1,6-dihydropyrimidin-2-ylamino] benzoic acid was identified (IC50 = 1.1 µM). The structure--activity relationship study of newly synthesized derivatives was carried out and their binding mode with adenosine triphosphate-acceptor site of CK2 was proposed.

Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets.

This study introduces the PocketCFDM generative diffusion model, aimed at improving the prediction of small molecule poses in the protein binding pockets. The model utilizes a novel data augmentation technique, involving the creation of numerous artificial binding pockets that mimic the statistical patterns of non-bond interactions found in actual protein-ligand complexes. An algorithmic method was developed to assess and replicate these interaction patterns in the artificial binding pockets built around small molecule conformers. It is shown that the integration of artificial binding pockets into the training process significantly enhanced the model's performance. Notably, PocketCFDM surpassed DiffDock in terms of non-bond interaction and steric clash numbers, and the inference speed. Future developments and optimizations of the model are discussed. The inference code and final model weights of PocketCFDM are accessible publicly via the GitHub repository: https://github.com/vtarasv/pocket-cfdm.git.

Identification of novel PARP-1 inhibitors by structure-based virtual screening.

Poly(ADP-ribose)polymerase-1 (PARP-1) is an abundant and ubiquitous chromatin-bound nuclear protein. PARP-1, a DNA repair enzyme, has been in the limelight as a chemotherapeutic target. In this study, we demonstrated the successful use of structure-based virtual screening to identify inhibitors of PARP-1 from Otava databases comprised of nearly 260,000 compounds. Five novel inhibitors belonging to thienopyrimidinone, isoquinolinoquinazolinone, pyrroloquinazolinone, and cyclopentenothienopyrimidinone scaffolds revealed inhibitory potencies with IC50 values ranged from 9.57µM to 0.72µM. Structural features relevant to the activity of these novel compounds within the active site of PARP-1 are discussed in detail and will guide future SAR investigation on these scaffolds.

Discovery and characterization of synthetic 4'-hydroxyflavones-New CK2 inhibitors from flavone family.

Human protein kinase CK2 is one of the most intriguing enzymes, which functional role still remains unclear despite of decades of studying. At present there is abundant evidence pointing to the fact that inhibitors of CK2 could be used as pharmaceutical agents to treat cancer, viral infections and inflammatory diseases. Here we report novel synthetic flavone inhibitors, 4'-hydroxyflavones, possessing high activity towards CK2. These compounds were identified with receptor-based virtual screening and then chemically optimized on the base of rationale derived from biochemical screening and molecular modeling. It has been demonstrated that synthetic flavone derivatives are much more potent CK2 inhibitors than the natural ones, and we believe that their further examination will be helpful for studying biological role of CK2 as well as for development of new kinase-oriented drugs.

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.

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.

Electrochemical screening of the indole/quinolone derivatives as potential protein kinase CK2 inhibitors.

An electrochemical method based on the bioorganometallic Fc-ATP cosubstrate for kinase-catalyzed phosphorylation reactions was used for monitoring casein kinase 2 (CK2) phosphorylations in the absence and presence of five indole/quinolone-based potential inhibitors. Fc-phosphorylation of immobilized peptide RRRDDDSDDD on Au surfaces resulted in a current density at approximately 460 ± 10 mV. An electrochemical redox signal was significantly decreased in the presence of inhibitors. In addition, the electrochemical signal was concentration dependent with respect to the potential inhibitors 1 to 5, which proved to be viable CK2 drug targets with estimated IC50 values in the nanomolar range.

Identification of dual-targeted Mycobacterium tuberculosis aminoacyl-tRNA synthetase inhibitors using machine learning.

Background: The most serious challenge in the treatment of tuberculosis is the multidrug resistance of Mycobacterium tuberculosis to existing antibiotics. As a strategy to overcome resistance we used a multitarget drug design approach. The purpose of the work was to discover dual-targeted inhibitors of mycobacterial LeuRS and MetRS with machine learning. Methods: The artificial neural networks were built using module nnet from R 3.6.1. The inhibitory activity of compounds toward LeuRS and MetRS was investigated in aminoacylation assays. Results: Using a machine-learning approach, we identified dual-targeted inhibitors of LeuRS and MetRS among 2-(quinolin-2-ylsulfanyl)-acetamide derivatives. The most active compound inhibits MetRS and LeuRS with IC50 values of 33 µm and 23.9 µm, respectively. Conclusion: 2-(Quinolin-2-ylsulfanyl)-acetamide scaffold can be useful for further research.

Identification of novel small-molecular inhibitors of Staphylococcus aureus sortase A using hybrid virtual screening.

Staphylococcus aureus is one of the most dangerous pathogens commonly associated with high levels of morbidity and mortality. Sortase A is considered as a promising molecular target for the development of antistaphylococcal agents. Using hybrid virtual screening approach and FRET analysis, we have identified five compounds able to decrease the activity of sortase A by more than 50% at the concentration of 200 µM. The most promising compound was 2-(2-amino-3-chloro-benzoylamino)-benzoic acid which was able to inhibit S. aureus sortase A at the IC50 value of 59.7 µM. This compound was selective toward sortase A compared to other four cysteine proteases - cathepsin L, cathepsin B, rhodesain, and the SARS-CoV2 main protease. Microscale thermophoresis experiments confirmed that this compound bound sortase A with KD value of 189 µM. Antibacterial and antibiofilm assays also confirmed high specificity of the hit compound against two standard and three wild-type, S. aureus hospital infection isolates. The effect of the compound on biofilms produced by two S. aureus ATCC strains was also observed suggesting that the compound reduced biofilm formation by changing the biofilm structure and thickness.

Structure-based discovery of novel flavonol inhibitors of human protein kinase CK2.

Serine/threonine protein kinase CK2 controls vast variety of fundamental processes in cell life; however, despite long period of study, its functional role is not completely determined. CK2 has a significant pathogenic potential and its activity is strictly associated with the development of various kinds of disorders. There are a growing number of facts that inhibitors of CK2 could be used as pharmaceutical agents for the cancer treatment, viral infections, and inflammatory diseases. In this article, we report structural and biological data on the novel synthetic flavonol derivatives, 3-hydroxy-4'-carboxyflavones, possessing a high inhibitory activity toward CK2. With the aid of combinatorial organic synthesis, molecular modeling techniques and biochemical in vitro tests, we studied the structure-activity relationships of flavonol derivatives and developed binding model describing their key intermolecular interactions with the CK2 ATP-binding site. Obtained data show that the synthetic 3-hydroxy-4'-carboxyflavones possess the highest activity among flavonol inhibitors of CK2 known till date.