Novel derivatives of arabinogalactan, pullulan & lactobionic acid for targeting asialoglycoprotein receptor: Biomolecular interaction, synthesis & evaluation.

Targeted-drug administration to liver reduces side effects by minimising drug distribution to non-target organs and increases therapeutic efficacy by boosting drug concentration in target cells. In this study, arabinogalactan-(AG), pullulan-(PL) and lactobionic acid-(LA) were selected as natural ligands to target asialoglycoprotein receptor-(ASGPR-1) present on hepatocytes. In silico docking studies were performed and binding affinities of novel ligands viz. palmitoylated AG-(PAG), lauroylated AG-(LAG), palmitoylated PL-(PPL), lauroylated PL-(LPL) and lactobionic acid-adipic acid dihydrazide conjugate-(LAD) were compared with AG, PL and LA. These novel ligands were successfully synthesized and characterized. The ligands were incorporated into drug loaded nanostructured lipid carriers-(NLCs) for surface functionalization. HepG2 cellular internalization of hepatocyte-targeted NLCs was studied using fluorescence microscopy and LAD-decorated-drug loaded NLCs giving maximum cellular uptake were studied using confocal microscopy. Toxicity potential of LAD-decorated NLCs was assessed in vivo. Molecular docking results suggested that among the ligands, order of binding affinity was found to be LAD>PAG > PPL > LPL > LAG. Acute toxicity studies revealed hemocompatibility and absence of organ toxicity for ligand LAD. Additionally, the results establish proof-of-concept of enhanced targeting efficacy of novel ASGPR targeting ligands. These ligands can be used for surface modification of nanocarriers for future targeted delivery in treating various liver disorders.

Discovery of new leads against Mycobacterium tuberculosis using scaffold hopping and shape based similarity.

BM212 [1,5-diaryl-2-methyl-3-(4-methylpiperazin-1-yl)-methyl-pyrrole] is a pyrrole derivative with strong inhibitory activity against drug resistant Mycobacterium tuberculosis and mycobacteria residing in macrophages. However, it was not pursued because of its poor pharmacokinetics and toxicity profile. Our goal was to design and synthesize new antimycobacterial BM212 analogs with lower toxicity and better pharmacokinetic profile. Using the scaffold hopping approach, three structurally diverse heterocycles - 2,3-disubstituted imidazopyridines, 2,3-disubstituted benzimidazoles and 1,2,4-trisubstituted imidazoles emerged as promising antitubercular agents. All compounds were synthesized through easy and convenient methods and their structures confirmed by IR, 1H NMR, 13C NMR and MS. In-vitro cytotoxicity studies on normal kidney monkey cell lines and HepG2 cell lines, as well as metabolic stability studies on rat liver microsomes for some of the most active compounds, established that these compounds have negligible cytotoxicity and are metabolically stable. Interestingly the benzimidazole compound (4a) is as potent as the parent molecule BM212 (MIC 2.3µg/ml vs 0.7-1.5µg/ml), but is devoid of the toxicity against HepG2 cell lines (IC50 203.10µM vs 7.8µM).

New horizons in antimalarial drug discovery in the last decade by chemoinformatic approaches.

Antimalarial drug discovery process is progressively carried out by a combination of innovation and knowledge based methods that include computational and experimental approaches to achieve potent leads. Among the various computational approaches, chemoinformatics plays a critical role in the discovery of new leads or drug candidates. Chemoinformatics provides researchers tools to derive information on substructures, chemical space, similarity and diversity. It also helps to manage and store chemical data, study important molecular properties and filter libraries with regard to specified criteria in the database. To accomplish these ends it uses various tools amongst which are docking, 3D-QSAR, similarity search, virtual screening, database mining and pharmacophore mapping. This review is a perspective of the utility of chemoinformatic approaches in antimalarial drug design. It covers various facets such as targets that have been exploited for antimalarial drug discovery by chemoinformatic methods; potential antimalarial targets that have not yet been explored; the challenges faced in antimalarial drug discovery, and future directions for discovery of novel antimalarial agents.

Quantifying ligand-receptor interactions for gorge-spanning acetylcholinesterase inhibitors for the treatment of Alzheimer's disease.

There is a need for continued development of acetylcholinesterase (AChE) inhibitors that could prolong the life of acetylcholine in the synaptic cleft and also prevent the aggregation of amyloid peptides associated with Alzheimer's disease. The lack of a 3D-QSAR model which specifically deconvulates the type of interactions and quantifies them in terms of energies has motivated us to report a CoRIA model vis-à-vis the standard 3D-QSAR methods, CoMFA and CoMSIA. The CoRIA model was found to be statistically superior to the CoMFA and CoMSIA models and it could efficiently extract key residues involved in ligand recognition and binding to AChE. These interactions were quantified to gauge the magnitude of their contribution to the biological activity. In order to validate the CoRIA model, a pharmacophore map was first constructed and then used to virtually screen public databases, from which novel scaffolds were cherry picked that were not present in the training set. The biological activities of these novel molecules were then predicted by the CoRIA, CoMFA, and CoMSIA models. The hits identified were purchased and their biological activities were measured by the Ellman's method for AChE inhibition. The predicted activities are in unison with the experimentally measured biological activities.

Antifolate Agents Against Wild and Mutant Strains of Plasmodium falciparum.

Plasmodium falciparum dihydrofolate reductase is an important target for antimalarial chemotherapy. The emergence of resistance has significantly reduced the efficacy of the classic antifolate drugs cycloguanil and pyrimethamine. In this paper we report new dihydrofolate reductase inhibitors identified using molecular modelling principles with the goal of designing new antifolate agents active against both wild and tetramutant dihydrofolate reductase strains three series of trimethoprim analogues were designed, synthesised and tested for biological activity. Pyrimethamine and cycloguanil have been reported to loose efficacy because of steric repulsion in the active site pocket produced due to mutation in Plasmodium falciparum dihydrofolate reductase. The synthesised molecules have sufficient flexibility to withstand this steric repulsion to counteract the resistance. The molecules have been synthesised by conventional techniques and fully characterised by spectroscopic methods. The potency of these molecules was evaluated by in vitro enzyme specific assays. Some of the molecules were active in micromolar concentrations and can easily be optimised to improve binding and activity.

Molecular docking and 3D-QSAR studies of HIV-1 protease inhibitors.

HIV-1 protease is an obligatory enzyme in the replication process of the HIV virus. The abundance of structural information on HIV-1PR has made the enzyme an attractive target for computer-aided drug design strategies. The daunting ability of the virus to rapidly generate resistant mutants suggests that there is an ongoing need for new HIV-1PR inhibitors with better efficacy profiles and reduced toxicity. In the present investigation, molecular modeling studies were performed on a series of 54 cyclic urea analogs with symmetric P2/P2' substituents. The binding modes of these inhibitors were determined by docking. The docking results also provided a reliable conformational superimposition scheme for the 3D-QSAR studies. To gain insight into the steric, electrostatic, hydrophobic and hydrogen-bonding properties of these molecules and their influence on the inhibitory activity, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed. Two different alignment schemes viz. receptor-based and atom-fit alignment, were used in this study to build the QSAR models. The derived 3D-QSAR models were found to be robust with statistically significant r(2) and r(2)(pred) values and have led to the identification of regions important for steric, hydrophobic and electronic interactions. The predictive ability of the models was assessed on a set of molecules that were not included in the training set. Superimposition of the 3D-contour maps generated from these models onto the active site of enzyme provided additional insight into the structural requirements of these inhibitors. The CoMFA and CoMSIA models were used to design some new inhibitors with improved binding affinity. Pharmacokinetic and toxicity predictions were also carried out for these molecules to gauge their ADME and safety profile. The computational results may open up new avenues for synthesis of potent HIV-1 protease inhibitors.

Design, Synthesis and Evaluation of Novel 1-(Substituted Acetyl)-4-(10-Bromo-8-Chloro-5,6-Dihydro-11H-Benzo[5,6]Cyclohepta[1,2-B]Pyridine-11-Ylidene)piperidines as Antitumor Agents and Farnesyl Protein Transferase Inhibitors.

Eight novel 1-(substituted acetyl)-4-(10-bromo-8-chloro-5,6-dihydro-11H-benzo[5,6] cyclohepta [1,2-b] pyridine-11-ylidene)piperidines were designed by incorporating zinc binding groups to enhance activity. The designed molecules were synthesized and were evaluated for antitumor activity in vitro in five cell lines and for farnesyl protein transferase inhibition. Test compounds (6a-h) exhibited antitumor activity in most of the cell lines but were less potent than adriamycin. Compound 6e was most active with IC(50) values of <15 µM in two cell lines tested. Test compounds also exhibited potent FPT inhibitory activity and 6c was most potent with IC(50) value of <30 µM.