- Home
- A-Z Publications
- Current Topics in Medicinal Chemistry
- Previous Issues
- Volume 19, Issue 30, 2019
Current Topics in Medicinal Chemistry - Volume 19, Issue 30, 2019
Volume 19, Issue 30, 2019
-
-
Pharmacophore Modeling, Synthesis, Scaffold Hopping and Biological β-Hematin Inhibition Interaction Studies for Anti-malaria Compounds
Backgound: Exploring potent compounds is critical to generating multi-target drug discovery. Hematin crystallization is an important mechanism of malaria. Methods: A series of chloroquine analogues were designed using a repositioning approach to develop new anticancer compounds. Protein-ligand interaction fingerprints and ADMET descriptors were used to assess docking performance in virtual screenings to design chloroquine hybrid β-hematin inhibitors. A PLS algorithm was applied to correlate the molecular descriptors to IC50 values. The modeling presented excellent predictive power with correlation coefficients for calibration and cross-validation of r2 = 0.93 and q2 = 0.72. Using the model, a series of 4-aminoquinlin hybrids were synthesized and evaluated for their biological activity as an external test series. These compounds were evaluated for cytotoxic cell lines and β-hematin inhibition. Results: The target compounds exhibited high β-hematin inhibition activity and were 3-9 times more active than the positive control. Furthermore, all the compounds exhibited moderate to high cytotoxic activity. The most potent compound in the dataset was docked with hemoglobin and its pharmacophore features were generated. These features were used as input to the Pharmit server for screening of six databases. Conclusion: The compound with the best score from ChEMBL was 2016904, previously reported as a VEGFR-2 inhibitor. The 11 compounds selected presented the best Gold scores with drug-like properties and can be used for drug development.
-
-
-
In Silico Insights on GD2 : A Potential Target for Pediatric Neuroblastoma
Background: Originating from the abnormal growth of neuroblasts, pediatric neuroblastoma affects the age group below 15 years. It is an aggressive heterogenous cancer with a high morbidity rate. Biological marker GD2 synthesised by the GD2 gene acts as a powerful predictor of neuroblastoma cells. GD2 gangliosides are sialic acid-containing glycosphingolipids. Differential expression during brain development governs the function of the GD2. The present study explains the interaction of the GD2 with its established inhibitors and discovers the compound having a high binding affinity against the target protein. Technically, during the development of new compounds through docking studies, the best drug among all pre-exist inhibitors was filtered. Hence in reference to the best docked compound, the study proceeded further. Methodology: The In silico approach provides a platform to determine and establish potential inhibitor against GD2 in Pediatric neuroblastoma. The 3D structure of GD2 protein was modelled by homology base fold methods using Smith-Watermans’ Local alignment. A total of 18 established potent compounds were subjected to molecular docking and Etoposide (CID: 36462) manifested the highest affinity. The similarity search presented 336 compounds similar to Etoposide. Results: Through virtual screening, the compound having PubChem ID 10254934 showed a better affinity towards GD2 than the established inhibitor. The comparative profiling of the two compounds based on various interactions such as H-bond interaction, aromatic interactions, electrostatic interactions and ADMET profiling and toxicity studies were performed using various computational tools. Conclusion: The docking separated the virtual screened drug (PubChemID: 10254934) from the established inhibitor with a better re-rank score of -136.33. The toxicity profile of the virtual screened drug was also lesser (less lethal) than the established drug. The virtual screened drug was observed to be bioavailable as it does not cross the blood-brain barrier. Conclusively, the virtual screened compound obtained in the present investigation is better than the established inhibitor and can be further augmented by In vitro analysis, pharmacodynamics and pharmacokinetic studies.
-
-
-
Ligand-Based Pharmacophore Modeling and Virtual Screening to Discover Novel CYP1A1 Inhibitors
Authors: Rana A. Tahir, Farwa Hassan, Abdul Kareem, Umer Iftikhar and Sheikh Arslan SehgalBackgound: Cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) is an imperative enzyme due to its immersion in the biotransformation of a wide range of drugs and other xenobiotics. The involvement of enzymes in drug metabolism indicates an effective drug target for the development of novel therapeutics. The discovery of CYP1A1 specific inhibitors would be of particular relevance for the clinical pharmacology. Methods: In the current work, in silico approaches were utilized to identify the novel potential compounds through a diverse set of reported inhibitors against CYP1A1. A dataset of reported compounds against CYP1 belongs to 10 different classes (alkaloids, coumarins, flavonoids, natural compounds, synthetic inhibitors, drugs, MBI’s, PAHs, naphthoquinone and stilbenoids) was retrieved and utilized for the comparative molecular docking analyses followed by pharmacophore modeling. The total eleven novel compounds were scrutinized on the basis of the highest binding affinities and least binding energy values. Results: ZINC08792486 compound attained the highest gold fitness score of 90.11 against CYP1A1 among all the scrutinized molecules. Conclusion: It has been elucidated that the residues Phe-224, Gly-316 and Ala-317 were conserved in all ligand-receptor interactions and critical for the development of effective therapies. The ADMET property analyses also predict better absorption and distribution of the selected hits that may be used in the future for in vitro validations and drug development.
-
-
-
Search for Potential Inducible Nitric Oxide Synthase Inhibitors with Favorable ADMET Profiles for the Therapy of Helicobacter pylori Infections
Background: Helicobacter pylori is a gram-negative bacterium related to chronic gastritis, peptic ulcer and gastric carcinoma. During its infection process, promotes excessive inflammatory response, increasing the release of reactive species and inducing the production of pro-inflammatory mediators. Inducible Nitric Oxide Synthase (iNOS) plays a crucial role in the gastric carcinogenesis process and a key mediator of inflammation and host defense systems, which is expressed in macrophages induced by inflammatory stimuli. In chronic diseases such as Helicobacter pylori infections, the overproduction of NO due to the prolonged induction of iNOS is of major concern. Objectives: In this sense, the search for potential iNOS inhibitors is a valuable strategy in the overall process of Helicobacter pylori pathogeny. Methods: In silico techniques were applied in the search of interesting compounds against Inducible Nitric Oxide Synthase enzyme in a chemical space of natural products and derivatives from the Analyticon Discovery databases. Results: The five compounds with the best iNOS inhibition profile were selected for activity and toxicity predictions. Compound 9 (CAS 88198-99-6) displayed significant potential for iNOS inhibition, forming hydrogen bonds with residues from the active site and an ionic interaction with heme. This compound also displayed good bioavailability and absence of toxicity/or from its probable metabolites. Conclusion: The top-ranked compounds from the virtual screening workflow show promising results regarding the iNOS inhibition profile. The results evidenced the importance of the ionic bonding during docking selection, playing a crucial role in binding and positioning during ligand-target selection for iNOS.
-
-
-
Cytotoxicity of Anchusa arvensis Against HepG-2 Cell Lines: Mechanistic and Computational Approaches
Background: Liver cancer is a devastating cancer with increasing incidence and mortality rates worldwide. Plants possess numerous therapeutic properties, therefore the search for novel, naturally occurring cytotoxic compounds is urgently needed. Methods: The anticancer activity of plant extracts and isolated compounds from Anchusa arvensis (A. arvensis) were studied against the cell culture of HepG-2 (human hepatocellular carcinoma cell lines) using 3-(4,5-Dimethylthiazol-yl)-diphenyl tetrazoliumbromide (MTT) assay. Apoptosis was investigated by performing Acridine orange –ethidium bromide staining, styox green assay and DNA interaction study. We also used tools for computational chemistry studies of isolated compounds with the tyrosine kinase. Results: In MTT assay, the crude extract caused a significant cytotoxic effect with IC50 of 34.14 ± 0.9 μg/ml against HepG-2 cell lines. Upon fractionation, chloroform fraction (Aa.Chm) exhibited the highest antiproliferative activity with IC50 6.55 ± 1.2 μg/ml followed by ethyl acetate (Aa.Et) fraction (IC50, 24.59 ± 0.85 μg/ml) and n-hexane (Aa.Hex) fraction (IC50 29.53 ± 1.5μg/ml). However, the aqueous (Aa.Aq) fraction did not show any anti-proliferative activity. Bioactivity-guided isolation led to the isolation of two compounds which were characterized as para–methoxycatechol (1) and decane (2) through various spectroscopic techniques. Against HepG-2 cells, compound 1 showed marked potency with IC50 6.03 ± 0.75 μg/ml followed by 2 with IC50 18.52 ± 1.9 μg/ml. DMSO was used as a negative control and doxorubicin as a reference standard (IC50 1.3 ± 0.21 μg/ml). It was observed that compounds 1-2 caused apoptotic cell death evaluated by Acridine orange –ethidium bromide staining, styox green assay and DNA interaction study, therefore both compounds were tested for molecular docking studies against tyrosine kinase to support cytotoxic activity. Conclusion: This study revealed that the plant extracts and isolated compounds possess promising antiproliferative activity against HepG-2 cell lines via apoptotic cell death.
-
Volumes & issues
-
Volume 25 (2025)
-
Volume (2025)
-
Volume 24 (2024)
-
Volume 23 (2023)
-
Volume 22 (2022)
-
Volume 21 (2021)
-
Volume 20 (2020)
-
Volume 19 (2019)
-
Volume 18 (2018)
-
Volume 17 (2017)
-
Volume 16 (2016)
-
Volume 15 (2015)
-
Volume 14 (2014)
-
Volume 13 (2013)
-
Volume 12 (2012)
-
Volume 11 (2011)
-
Volume 10 (2010)
-
Volume 9 (2009)
-
Volume 8 (2008)
-
Volume 7 (2007)
-
Volume 6 (2006)
-
Volume 5 (2005)
-
Volume 4 (2004)
-
Volume 3 (2003)
-
Volume 2 (2002)
-
Volume 1 (2001)
Most Read This Month
