13 research outputs found
Screening of inhibitors for S130G inhibitor resistant mutants of TEM type beta-lactamase
Bacteria are remarkably adaptable organisms that acquire an almost limitless competence to survive under unpleasant conditions. The drastic emergence of antibiotic resistance among β-Lactamases is the most serious threat to hospitals and nosocomial settings. β-lactam inhibitors came into existence in order to overcome the problem of antibibiotic resistance in bacteria. The emergence of inhibitor resistant mutants has raised the alarms. In this study we have used structured based virtual screening approach and have screened out some inhibitors against S130G TEM mutant. All the compounds were tested in presence and absence of conserved active site water molecules. These compounds were found be showing much higher efficacy than known β-lactamase inhibitors. Amino acids G130, S70, N132, G130, Y105 and V216 were found crucial for the interaction of inhibitors within the active site
A decade of machine learning-based predictive models for human pharmacokinetics: Advances and challenges
Development and rigorous validation of antimalarial predictive models using machine learning approaches
New Framework for the Discovery of PRC2 Inhibitors: Epigenetic Drugs
Over the past several years, remarkable progress towards the recognition of new therapeutic
targets in tumor cells has led to the discovery and development of newer scaffolds of anti-tumor
drugs. The exploration and exploitation of epigenetic regulation in tumor cells are of immense
importance to both the pharmaceutical and academic biomedical literatures. Epigenetic mechanisms
are indispensable for the normal development and maintenance of tissue-specific gene expression.
Disruption of epigenetic processes to eradicate tumor cells is among the most promising
intervention for cancer control. Polycomb repressive complex 2 (PRC2), a complex that methylates
lysine 27 of histone H3 to promote transcriptional silencing, is involved in orchestrating significant
pathways in a cell. Overexpression of PRC2 has been found in a number of cancerous malignancies,
making it a major target for anti-cancer therapy. Despite its well-understood molecular mechanism,
hyperactivation and drug resistance mutations in its subunits have become a matter of discussion.
This review outlines the current understanding of the components of PRC2 in active complex
formation and assesses their potential as a promising therapeutic target for cancer therapy. We
also review the effects of mutations in the PRC2 components, in the purview of human cancers. Finally,
we discuss some of the current challenges for therapeutic drug designs targeting the PRC2
complex.
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Potential inhibitors designed against NDM-1 type metallo-β-lactamases: an attempt to enhance efficacies of antibiotics against multi-drug-resistant bacteria
AbstractNDM-1 and its variants are the most prevalent types of metallo-β-lactamases, hydrolyze almost all antibiotics of β-lactam group leading to multiple-drug resistance in bacteria. No inhibitor has yet been obtained for NDM-1 or other class of metallo-β-lactamases. Therefore, strategies to identify novel anti-β-lactamase agents with specific mechanisms of action are the need of an hour. In this study, we have reported the discovery of novel non-β-lactam inhibitors against NDM-1 by multi-step virtual screening approach. The potential for virtually screened drugs was estimated through in vitro cell assays. Five chemical compounds were finally purchased and evaluated experimentally for their efficacies to inhibit NDM-1 producing bacterial cells, in vitro. The dissociation constants (Kd), association constant (Ka), stoichiometry (n) and binding energies (ΔG) of compounds with the respective targets were determined using isothermal titration calorimetry (ITC). Molecular dynamic simulation carried out for 25 ns revealed that these complexes were stable throughout the simulation with relative RMSD in acceptable range. Moreover, Microbiological and kinetic studies further confirmed high efficacies of these inhibitors by reducing the minimum inhibitory concentration (MIC) and catalysis of antibiotics by β-lactamases in the presence of inhibitors. Therefore, we conclude that these potential inhibitors may be used as lead molecules for future drug candidates.</jats:p
Computational Investigation Identified Potential Chemical Scaffolds for Heparanase as Anticancer Therapeutics
Heparanase (Hpse) is an endo-β-D-glucuronidase capable of cleaving heparan sulfate side chains. Its upregulated expression is implicated in tumor growth, metastasis and angiogenesis, thus making it an attractive target in cancer therapeutics. Currently, a few small molecule inhibitors have been reported to inhibit Hpse, with promising oral administration and pharmacokinetic (PK) properties. In the present study, a ligand-based pharmacophore model was generated from a dataset of well-known active small molecule Hpse inhibitors which were observed to display favorable PK properties. The compounds from the InterBioScreen database of natural (69,034) and synthetic (195,469) molecules were first filtered for their drug-likeness and the pharmacophore model was used to screen the drug-like database. The compounds acquired from screening were subjected to molecular docking with Heparanase, where two molecules used in pharmacophore generation were used as reference. From the docking analysis, 33 compounds displayed higher docking scores than the reference and favorable interactions with the catalytic residues. Complex interactions were further evaluated by molecular dynamics simulations to assess their stability over a period of 50 ns. Furthermore, the binding free energies of the 33 compounds revealed 2 natural and 2 synthetic compounds, with better binding affinities than reference molecules, and were, therefore, deemed as hits. The hit compounds presented from this in silico investigation could act as potent Heparanase inhibitors and further serve as lead scaffolds to develop compounds targeting Heparanase upregulation in cancer.</jats:p
Enhancement in the Catalytic Activity of Human Salivary Aldehyde Dehydrogenase by Alliin from Garlic: Implications in Aldehyde Toxicity and Oral Health
Background:
Lower human salivary aldehyde dehydrogenase (hsALDH) activity increases
the risk of aldehyde mediated pathogenesis including oral cancer. Alliin, the bioactive compound of
garlic, exhibits many beneficial health effects.
Objective:
To study the effect of alliin on hsALDH activity.
Method:
Enzyme kinetics was performed to study the effect of alliin on the activity of hsALDH. Different
biophysical techniques were employed for structural and binding studies. Docking analysis was
done to predict the binding region and the type of binding forces.
Results:
Alliin enhanced the dehydrogenase activity of the enzyme. It slightly reduced the Km and significantly
enhanced the Vmax value. At 1 µM alliin concentration, the initial reaction rate increased by
about two times. Further, it enhanced the hsALDH esterase activity. Biophysical studies indicated a
strong complex formation between the enzyme and alliin (binding constant, Kb: 2.35 ± 0.14 x 103 M-1).
It changes the secondary structure of hsALDH. Molecular docking study indicated that alliin interacts
to the enzyme near the substrate binding region involving some active site residues that are evolutionary
conserved. There was a slight increase in the nucleophilicity of active site cysteine in the presence
of alliin. Ligand efficiency metrics values indicate that alliin is an efficient ligand for the enzyme.
Conclusion:
Alliin activates the catalytic activity of the enzyme. Hence, consumption of alliincontaining
garlic preparations or alliin supplements and use of alliin in pure form may lower aldehyde
related pathogenesis including oral carcinogenesis.
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