Molecular insights into Mmpl3 leads to the development of novel indole-2-carboxamides as antitubercular agents.

Tuberculosis (TB) is an air-borne infectious disease and is the leading cause of death among all infectious diseases globally. The current treatment regimen for TB is overtly long and patient non-compliance often leads to drug resistant TB resulting in a need to develop new drugs that will act via novel mechanisms. In this research work, we selected Mycobacterium membrane protein large (MmpL3) as the drug target and indole-2-carboximide as our molecule of interest for further designing new molecules. A homology model was prepared for the Mycobacterium tuberculosis MmpL3 from the crystal structure of Mycobacterium smegmatis MmpL3. A series of indoles which are known to be MmpL3 inhibitors were docked in the prepared protein and the binding site properties were identified. Based on that, 10 molecules were designed and synthesized and their antitubercular activities evaluated. We identified four hits among which the highest potency candidate possessed a minimum inhibitory concentration (MIC) of 1.56 µM at 2-weeks. Finally, molecular dynamics simulation studies were done with 3b and a previously reported MmpL3 inhibitor to understand the intricacies of their binding in real time and to correlate the experimental findings with the simulation data.

Structure-based identification of small molecules against influenza A virus endonuclease: an in silico and in vitro approach.

Influenza viruses are known to cause acute respiratory illness, sometimes leading to high mortality rates. Though there are approved influenza antivirals available, their efficacy has reduced over time, due to the drug resistance crisis. There is a perpetual need for newer and better drugs. Drug screening based on the interaction dynamics with different viral target proteins has been a preferred approach in the antiviral drug discovery process. In this study, the FDA approved drug database was virtually screened with the help of Schrödinger software, to select small molecules exhibiting best interactions with the influenza A virus endonuclease protein. A detailed cytotoxicity profiling was carried out for the two selected compounds, cefepime and dolutegravir, followed by in vitro anti-influenza screening using plaque reduction assay. Cefepime showed no cytotoxicity up to 200 µM, while dolutegravir was non-toxic up to 100 µM in Madin-Darby canine kidney cells. The compounds did not show any reduction in viral plaque numbers indicating no anti-influenza activity. An inefficiency in the translation of the molecular interactions into antiviral activity does not necessarily mean that the molecules were inactive. Nevertheless, testing the molecules for endonuclease inhibition per se can be considered a worthwhile approach.

Pharmacophore Modeling, 3D-QSAR and Molecular Docking of Furanochalcones as Inhibitors of Monoamine Oxidase-B.

Monoamine oxidase B inhibitors are of particular importance in the treatment of neurodegenerative disorders such as Alzheimer's and Parkinson's disease. Herein described is pharmacophore generation and atom-based 3D-QSAR analysis of previously reported furan based MAO-B inhibitors in order to get insight into their structural requirements responsible for high affinity. The best pharmacophore model generated with the five-point hypotheses of ADHRR: hydrogen bond acceptor (A), hydrogen bond donor (D), hydrophobic (H) and two aromatic rings (R1 & R2). On the basis of generated model, a statistically valid 3D-QSAR with good predictability was developed. Molecular docking of lead compound showed binding energy of -8.66 kcal/mol with a predicted inhibition constant of 0.448 µM towards MAO-B.