Reaz Uddin

Synthesis, antioxidant activities and urease inhibition of some new 1,2,4-triazole and 1,3,4-thiadiazole derivatives

New series of 4,5-disubstituted-2,4-dihydro-3H-1,2,4-triazole-3-thiones (8a-j) and 2,5-disubstituted-1,3,4-thiadiazoles (9a-h) were synthesized by dehydrative cyclization of hydrazinecarbothioamide derivatives (7a-k) by refluxing in 4N aqueous sodium hydroxide and by overnight stirring with polyphosphoric acid, respectively. The structures of the newly synthesized compounds were characterized by IR, (1)H NMR, (13)C NMR, elemental analysis and mass spectroscopic studies and the synthesized compounds were screened for their antioxidant and urease inhibition activities. N-(2,4-Dimethylphenyl)-5-(4-nitrophenyl)-1,3,4-thiadiazol-2-amine (9h) showed excellent antioxidant activity more than the standard drug whereas 4-(2,4-dimethylphenyl)-5-(3-nitrophenyl)-2,4-dihydro-3H-1,2,4-triazole-3-thione (8d) and 4-(2,3-dimethylphenyl)-5-phenyl-2,4-dihydro-3H-1,2,4-triazole-3-thione (8e) exhibited potent urease inhibitory activities.

5-tert-butyl-N-pyrazol-4-yl-4,5,6,7-tetrahydrobenzo[d]isoxazole-3-carboxamide derivatives as novel potent inhibitors of Mycobacterium tuberculosis pantothenate synthetase: initiating a quest for new antitubercular drugs.

Pantothenate synthetase (PS) is one of the potential new antimicrobial targets that may also be useful for the treatment of the nonreplicating persistent forms of Mycobacterium tuberculosis. In this Letter we present a series of 5- tert-butyl- N-pyrazol-4-yl-4,5,6,7-tetrahydrobenzo[ d]isoxazole-3-carboxamide derivatives as novel potent Mycobacterium tuberculosis PS inhibitors, their in silico molecular design, synthesis, and inhibitory activity.

Identification of Novel Urease Inhibitors by High-Throughput Virtual and in Vitro Screening

Ureases are important in both agriculture and human health. Bacterial ureases are directly involved in many farm-field problems and pathological conditions. Here, we report a structure-based virtual screening of an in-house compound bank of about 6000 molecular entities by computational docking and binding free energy calculations followed by in vitro screening. Applied protocol leads to the identification of novel urease inhibitors, which can serve as starting points for structural optimization.

Receptor-based modeling and 3D-QSAR for a quantitative production of the butyrylcholinesterase inhibitors based on genetic algorithm

Three-dimensional quantitative structure-activity relationship (3D-QSAR) models have been constructed using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) for a series of structurally related steroidal alkaloids as butyrylcholinesterase (BuChE) inhibitors. Docking studies were employed to position the inhibitors into the BuChE active site to determine the most probable binding mode. The strategy was to explore multiple inhibitor conformations in producing a more reliable 3D-QSAR model. These multiple conformations were derived using the FlexS program. The conformation selection step for CoMFA was done by genetic algorithm. The genetic algorithm based CoMFA approach was found to be the best. Both CoMFA and CoMSIA yielded significant cross-validated q(2) values of 0.701 and 0.627 and the r(2) values of 0.979 and 0.982, respectively. These statistically significant models were validated by a test set of five compounds. Comparison of CoMFA and CoMSIA contour maps helped to identify structural requirements for the inhibitors and serves as a basis for the design of the next generation of the inhibitor analogues. The results demonstrate that the combination of ligand-based and receptor-based modeling with use of a genetic algorithm is a powerful approach to build 3D-QSAR models. These data can be used for the lead optimization process with respect to inhibition enhancement which is important for the drug discovery and development for Alzheimers disease.

Molecular docking studies of potent inhibitors of tyrosinase and α-glucosidase

Copper containing tyrosinase enzyme is responsible for melanin biosynthesis in human. Anomalous growth of this enzyme causes hyper-pigmentation related disorders. Melanoma-specific anticarcinogenic activity has also been associated with this enzyme. Recently reported metabolites of tibolone exhibited significant inhibitory activities against both tyrosinase and α-glucosidase enzymes. Molecular docking studies of these enzymes with those metabolites have been the focus of this study. It is comprehensively studied that the inhibition of α-glucosidase is crucial for glycemic control. The active site similarity between tyrosinase and α-glucosidase has also been observed. GOLD is utilized to investigate the conformation and binding affinities of newly discovered inhibitors. In both enzymes, metal ions seem to play an important role in establishing the interaction within the cavity of active sites. Results obtained by recent study are not only consistent with the experimental findings but also provide a deeper insight into the structural attributes and overall molecular interactions.

Research Article: Identification and characterization of potential drug targets by subtractive genome analyses of methicillin resistant Staphylococcus aureus

Methicillin resistant Staphylococcus aureus (MRSA) causes serious infections in humans and becomes resistant to a number of antibiotics. Due to the emergence of antibiotic resistance strains, there is an essential need to develop novel drug targets to address the challenge of multidrug-resistant bacteria. In current study, the idea was to utilize the available genome or proteome in a subtractive genome analyses protocol to identify drug targets within two of the MRSA types, i.e., MRSA ST398 and MRSA 252. Recently, the use of subtractive genomic approaches helped in the identification and characterization of novel drug targets of a number of pathogens. Our protocol involved a similarity search between pathogen and host, essentiality study using the database of essential genes, metabolic functional association study using Kyoto Encyclopedia of Genes and Genomes database (KEGG), cellular membrane localization analysis and Drug Bank database. Functional family characterizations of the identified non homologous hypothetical essential proteins were done by SVMProt server. Druggability potential of each of the identified drug targets was also evaluated by Drug Bank database. Moreover, metabolic pathway analysis of the identified druggable essential proteins with KEGG revealed that the identified proteins are participating in unique and essential metabolic pathways amongst MRSA strains. In short, the complete proteome analyses by the use of advanced computational tools, databases and servers resulted in identification and characterization of few nonhomologous/hypothetical and essential proteins which are not homologous to the host genome. Therefore, these non-homologous essential targets ensure the survival of the pathogen and hence can be targeted for drug discovery.

CoMFA and CoMSIA 3D-QSAR analysis on hydroxamic acid derivatives as urease inhibitors

Urease (EC 3.5.1.5) serves as a virulence factor in pathogens that are responsible for the development of many diseases in humans and animals. Urease allows soil microorganisms to use urea as a source of nitrogen and aid in the rapid break down of urea-based fertilizers resulting in phytopathiCIT000y. It has been well established that hydroxamic acids are the potent inhibitors of urease activity. The 3D-QSAR studies on thirty five hydroxamic acid derivatives as known urease inhibitors were performed by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods to determine the factors required for the activity of these compounds. The CoMFA model produced statistically significant results with cross-validated (q2) 0.532 and conventional (r2) correlation coefficients 0.969.The model indicated that the steric field (70.0%) has greater influence on hydroxamic acid inhibitors than the electrostatic field (30.0%). Furthermore, five different fields: steric, electrostatic, hydrophobic, H-bond donor and H-bond acceptor assumed to generate the CoMSIA model, which gave q2 0.665 and r2 0.976.This model showed that steric (43.0%), electrostatic (26.4%) and hydrophobic (20.3%) properties played a major role in urease inhibition. The analysis of CoMFA and CoMSIA contour maps provided insight into the possible modification of the hydroxamic acid derivatives for improved activity.

Metabolic pathway analysis approach: Identification of novel therapeutic target against methicillin resistant Staphylococcus aureus

Multiple Drug Resistant (MDR) bacteria are no more inhibited by the front line antibiotics due to extreme resistance. Methicillin Resistant Staphylococcus aureus (MRSA) is one of the MDR pathogens notorious for its widespread infection around the world. The high resistance acquired by MRSA needs a serious concern and efforts should be carried out for the discovery of better therapeutics. With this aim, we designed a comparison of the metabolic pathways of the pathogen, MRSA strain 252 (MRSA252) with the human host (i.e., Homo sapiens) by using well-established in silico methods. We identified several metabolic pathways unique to MRSA (i.e., absent in the human host). Furthermore, a subtractive genomics analysis approach was applied for retrieval of proteins only from the unique metabolic pathways. Subsequently, proteins of unique MRSA pathways were compared with the host proteins. As a result, we have shortlisted few unique and essential proteins that could act as drug targets against MRSA. We further assessed the druggability potential of the shortlisted targets by comparing them with the DrugBank Database (DBD). The identified drug targets could be useful for an effective drug discovery phase. We also searched the sequences of unique as well as essential enzymes from MRSA in Protein Data Bank (PDB). We shortlisted at least 12 enzymes for which there was no corresponding deposition in PDB, reflecting that their crystal structures are yet to be solved! We selected Glutamate synthase out of those 12 enzymes owing to its participation in significant metabolic pathways of the pathogen e.g., Alanine, Aspartate, Glutamate and Nitrogen metabolism and its evident suitability as drug target among other MDR bacteria e.g., Mycobacteria. Due to the unavailability of any crystal structure of Glutamate synthase in PDB, we generated the 3D structure by homology modeling. The modeled structure was validated by multiple analysis tools. The active site of Glutamate synthase was identified by not only superimposing the template structure (PDB ID: 1E0A) over each other but also by the Parallel-ProBiS algorithm. The identified active site was further validated by cross-docking the co-crystallized ligand (2-oxoglutaric acid; AKG) of PDB ID: 1LLW. It was concluded that the comparative metabolic in silico analysis together with structure-based methods provides an effective approach for the identification of novel antibiotic targets against MRSA.

Synthesis of 4-thiazolidinone analogs as potent in vitro anti-urease agents.

4-Thiazolidinone analogs 1-20 were synthesized, characterized by (1)H NMR and EI-MS and investigated for urease inhibitory activity. All twenty (20) analogs exhibited varied degree of urease inhibitory potential with IC50 values 1.73-69.65μM, if compared with standard thiourea having IC50 value of 21.25±0.15μM. Among the series, eight derivatives 3, 6, 8, 10, 15, 17, 19, and 20 showed outstanding urease inhibitory potential with IC50 values of 9.34±0.02, 14.62±0.03, 8.43±0.01, 7.3±0.04, 2.31±0.002, 5.75±0.003, 8.81±0.005, and 1.73±0.001μM, respectively, which is better than the standard thiourea. The remaining analogs showed good to excellent urease inhibition. The binding interactions of these compounds were confirmed through molecular docking studies.

Combined pharmacophore and 3D-QSAR study on a series of Staphylococcus aureus Sortase A inhibitors.

Methicillin resistant Staphylococcus aureus has become a major health concern and it requires new therapeutic agents. Staphylococcus aureus Sortase A enzyme contributes in adherence of bacteria with the cell wall of host cell; consequently, inhibition of S. aureus Sortase A by small molecules could be employed as potential antibacterial agents against methicillin resistant S. aureus. Current study focused on the identification of 3D pharmacophoric features within a series of rhodanine, pyridazinone, and pyrazolethione analogs as S. aureus Sortase A inhibitors. Pharmacophore model was constructed employing representative molecules using Genetic Algorithm with Linear Assignment of Hypermolecular Alignment of Database. The identified pharmacophoric points were then utilized to create alignment hypothesis for three‐dimensional quantitative structure‐activity relationships. Outcome of comparative molecular field analysis and comparative molecular similarity indices analysis experiments were in good agreement (comparative molecular field analysis: q2 = 0.562 and r2 = 0.995, comparative molecular similarity indices analysis: q2 = 0.549 and r2 = 0.978) and capable of explaining the variance in biological activities coherently with respect to the structural features of compounds. The results were also found in concurrence with the outcome of pharmacophoric features.