Tuning of (E)-(4-fluorophenyl)-1,1-diamino-2,3-diazabuta-1,3-diene nanostructures for the selective detection of imidacloprid.

The present work demonstrates a facile route for synthesizing the organic nanoparticles (ONPs) and the blue fluorescent Quantum Dots (QDs) based on an organic molecule named (E)-(4-fluorophenyl)-1,1-diamino-2,3-diazabuta-1,3-diene. The synthesis process possesses advantages viz green synthesis, non-toxic degraded products, and amount of organic compound. Initially, the ONPs were prepared using the nanoprecipitation method and were screened for their recognition potential against various pesticides, however, no selectivity has been observed. This motivated us to tune the ONPs into QDs. The QDs were prepared using the hydrothermal method and a color change was observed in the QDs solution under daylight and under a UV lamp. The emission wavelength was observed at 400 nm (λexcitation = 278 nm). The synthesized QDs exhibited selective sensing potential towards imidacloprid via a quenching mechanism. A normalised decrement in the luminescence intensity of QDs was observed on raising the concentration of imidacloprid and a good linear response was noticed over a concentration varies from 1 µM to 100 µM with a regression coefficient of 0.99. The detection limit was estimated to be 4.53 nM and quantification limit was calculated to be and 13.72 nM.

Mechanistic insights into granule-bound starch synthase I (GBSSI.L539P) allele in high amylose starch biosynthesis in wheat (Triticum aestivum L.).

Amylose fraction of grain starch is correlated with a type of resistant starch with better nutritional quality. Granule-bound starch synthase I (GBSSI) is the known starch synthase, responsible for elongation of linear amylose chains. GBSSI expression, activity, and binding to starch and other proteins are the key factors that can affect amylose content. Previously, a QTL, qhams7A.1 carrying GBSSI mutant allele, was identified through QTL mapping using F2 population of the high amylose mutant line, 'TAC 75'. This high amylose mutant line has >2-fold higher amylose content than wild variety 'C 306'. In this study, we characterized this novel mutant allele, GBSSI.L539P. In vitro starch synthase activity of GBSSI.L539P showed improved activity than the wild type (GBSSI-wt). When expressed in yeast glycogen synthase mutants (Δgsy1gsy2), GBSSI-wt and GBSSI.L539P partially complemented the glycogen synthase (gsy1gsy2) activity in yeast. Structural analysis by circular dichroism (CD) and homology modelling showed no significant structural distortion in the mutant enzyme. Molecular docking studies suggested that the residue Leu539 is distant from the catalytic active site (ADP binding pocket) and had no detectable conformational changes in active site. Both wild and mutant enzymes were assayed for starch binding in vitro, and demonstrating higher affinity of the GBSSI.L539P mutant for starch than the wild type. The present study indicated that distant residue (L539P) influenced GBSSI activity by affecting its starch-binding ability. Therefore, it may be a potential molecular target for enhanced amylose content in grain.

Reaction behaviour of arylamines with nitroalkenes in the presence of bismuth(iii) triflate: an easy access to 2,3-dialkylquinolines.

We report the reaction behaviour of arylamines with nitroalkenes in the presence of bismuth(iii) triflate (10 mol%) and diacetoxyiodobenzene (10 mol%). We obtained 2,3-dialkylquinoline derivatives instead of the expected 3-alkylindole derivatives. The present reaction is an alternative approach for the synthesis of 2,3-dialkylquinoline derivatives under milder conditions. Furthermore, we establish the mechanistic pathway by theoretical calculations using Gaussian 09 software [B3LYP/6-311+G(d,p)], which shows that the conventional aza-Michael reaction is preferred over Michael addition. Aliphatic nitroalkenes behave in a different manner than aromatic nitroalkenes. An aza-Michael adduct gives rise to an imine by the elimination of water which may tautomerize to the corresponding enamine. The resulting imine and enamine intermediates react together to afford the desired quinoline derivatives. This protocol has the advantages of consecutive formation of one C-N and two C-C bonds, high regioselectivity, broad substrate-scope and good yields.

Design of fructose-2,6-bisphosphatase inhibitors: a novel virtual screening approach.

Fructose-2,6-bisphosphatase (FBPase-2) is a switch between gluconeogenesis and glycolysis in the hepatic cells. The structural features required for inhibitory activity of FBPase-2 were unidentified; no leads are available for inhibiting this important enzyme. In this paper pharmacophore mapping, molecular docking methods were employed in a virtual screening strategy to identify leads for FBPase-2. A receptor based pharmacophore map was modeled which comprised of important interactions as observed in co-crystal of rat liver isozyme with the product inhibitor fructose-6-phosphate. The pharmacophore model was validated against two databases of best docked structural analogues of fructose-2,6-bisphosphate and fructose-6-phosphate. The query generated was submitted for flexible search of ligands in chemical databases, namely LeadQuest, Maybridge and NCI. The hits obtained were further screened by molecular docking using FlexX.

Pharmacoinformatic Study on the Selective Inhibition of the Protozoan Dihydrofolate Reductase Enzymes.

Dihydrofolate reductase (DHFR) is an essential enzyme of the folate metabolic pathway in protozoa and it is a validated, potential drug target in many infectious diseases. Information about unique conserved residues of the DHFR enzyme is required to understand residual selectivity of the protozoan DHFR enzyme. The three dimensional crystal structures are not available for all the protozoan DHFR enzymes. Enzyme-substrate/inhibitor interaction information is required for the binding mode characterization in protozoan DHFR for selective inhibitor design. In this work, multiple sequence analysis was carried out in all the studied species. Homology models were built for protozoan DHFR enzymes, for which 3D structures are not available in PDB. The molecular docking and Prime-MMGBSA calculations of the natural substrate (dihydrofolate, DHF) and classical DHFR inhibitor (methotrexate, MTX) were performed in protozoan DHFR enzymes. Comparative sequence analysis showed that an overall sequence identity between the studied species ranging from 22.94 % (CfDHFR-BgDHFR) to 94.61 % (LdDHFR-LmDHFR). Interestingly, it was observed that most of the active site residues were conserved in all the cases and all the enzymes exhibit similar key binding interactions with DHF and MTX in molecular docking analysis, but there are a few key binding residues which differ in protozoan species that makes it suitable for target selectivity. This information can be used to design selective and potent protozoan DHFR enzyme inhibitors.

Molecular insight into atypical instability behavior of fixed-dose combination containing amlodipine besylate and losartan potassium.

Combination therapy with the use of fixed-dose combinations (FDCs) is evincing increasing interest of prescribers, manufacturers and even regulators, evidently due to the primary benefit of improved patient compliance. However, owing to potential of drug-drug interaction, FDCs require closer scrutiny with respect to their physical and chemical stability. Accordingly, the purpose of the present study was to explore stability behavior of a popular antihypertensive combination of amlodipine besylate (AML) and losartan potassium (LST). Physical mixtures of the two drugs and multiple marketed formulations were stored under accelerated conditions of temperature and humidity (40°C/75% RH) in a stability chamber and samples were withdrawn after 1 and 3 months. The physical changes were observed visibly, while chemical changes were monitored by HPLC employing a method that could separate the two drugs and all other components present. The combination revealed strong physical instability and also chemical degradation of AML in the presence of LST. Interestingly, three isomeric interaction products of AML were formed in the combination, which otherwise were reported in the literature to be generated on exposure of AML free base above its melting point. The same unusual products were even formed when multiple marketed FDCs were stored under accelerated conditions outside their storage packs. However, these were absent when AML alone was stored in the same studied conditions. Therefore, reasons for physical and chemical incompatibility and the mechanism of degradation of AML in the presence of LST were duly explored at the molecular level. The outcomes of the study are expected to help in development of stable FDCs of the two drugs.

3D-QSAR CoMFA study on indenopyrazole derivatives as cyclin dependent kinase 4 (CDK4) and cyclin dependent kinase 2 (CDK2) inhibitors.

Cyclin dependent kinases (CDKs) have appeared as an important drug targets over the years with diverse therapeutic potentials. With the objective of designing new chemical entities with enhanced inhibitory potencies against CDK 2 (CDK2) and CDK 4 (CDK4), the 3D-QSAR CoMFA study carried out on indenopyrazole derivatives as inhibitors of these kinases is presented here. The developed model showed a strong correlative and predictive capability having a cross validated correlation co-efficient of 0.747 for CDK4 and 0.755 for CDK2 inhibitions. The conventional and predictive correlation co-efficients were, respectively, found to be 0.913 and 0.760 for CDK4, 0.941 and 0.765 for CDK2. The models could be employed to design ligands with enhanced inhibitory potencies and/or to predict the potencies of analogues to guide synthesis.

Pharmacoinformatics analysis to identify inhibitors of Mtb-ASADH.

Aspartate-semialdehyde dehydrogenase (ASADH; EC 1.2.1.11) is a key enzyme in the biosynthesis of essential amino acids in prokaryotes and fungi, inhibition of ASADH leads to the development of novel antitubercular agents. In the present work, a combined structure and ligand-based pharmacophore modeling, molecular docking, and molecular dynamics (MD) approaches were employed to identify potent inhibitors of mycobacterium tuberculosis (Mtb)-ASADH. The structure-based pharmacophore hypothesis consists of three hydrogen bond acceptor (HBA), two negatively ionizable, and one positively ionizable center, while ligand-based pharmacophore consists of additional one HBA and one hydrogen bond donor features. The validated pharmacophore models were used to screen the chemical databases (ZINC and NCI). The screened hits were subjected to ADME and toxicity filters, and subsequently to the molecular docking analysis. Best-docked 25 compounds carry the characteristics of highly electronegative functional groups (-COOH and -NO2) on both sides and exhibited the H-bonding interactions with highly conserved residues Arg99, Arg249, and His256. For further validation of docking results, MD simulation studies were carried out on two representative compounds NSC51108 and ZINC04203124. Both the compounds remain bound to the key active residues of Mtb-ASADH during the MD simulations. These identified hits can be further used for lead optimization and in the design more potent inhibitors against Mtb-ASADH.

Characterization of forced degradation products and in silico toxicity prediction of Sofosbuvir: A novel HCV NS5B polymerase inhibitor.

Sofosbuvir is a direct acting antiviral medication used to treat Hepatitis C viral infection. The present study focuses on the degradation behavior of the drug under various stress conditions (hydrolysis, oxidative, thermal and photolytic) as per International Conference on Harmonization (ICH Q1A (R2)) guidelines. A high performance liquid chromatographic system (HPLC) was used to develop a selective, precise and accurate method for separating all the degradation products. The separation was achieved on a Sunfire™ C18 (150mm×4.6mm×5µm) stationary phase with a mobile phase of 10mM ammonium acetate (pH 5.0) buffer and acetonitrile in gradient elution mode. A quadrupole-time of flight mass analyzer equipped with an electrospray ionization technique was used to propose the structural information based on the MS/MS and accurate mass measurements. Seven degradation products were identified and characterised by LC-ESI-QTOF-MS/MS. In silico toxicity of the drug and its degradation products was determined using TOPKAT and DEREK toxicity prediction softwares. The proposed method was validated as per the ICH Q2 guidelines.

Shape-based virtual screening, docking, and molecular dynamics simulations to identify Mtb-ASADH inhibitors.

Aspartate ß-semialdehyde dehydrogenase (ASADH) is a key enzyme for the biosynthesis of essential amino acids and several important metabolites in microbes. Inhibition of ASADH enzyme is a promising drug target strategy against Mycobacterium tuberculosis (Mtb). In this work, in silico approach was used to identify potent inhibitors of Mtb-ASADH. Aspartyl ß-difluorophosphonate (ß-AFP), a known lead compound, was used to understand the molecular recognition interactions (using molecular docking and molecular dynamics analysis). This analysis helped in validating the computational protocol and established the participation of Arg99, Glu224, Cys130, Arg249, and His256 amino acids as the key amino acids in stabilizing ligand-enzyme interactions for effective binding, an essential feature is H-bonding interactions with the two arginyl residues at the two ends of the ligand. Best binding conformation of ß-AFP was selected as a template for shape-based virtual screening (ZINC and NCI databases) to identify compounds that competitively inhibit the Mtb-ASADH. The top rank hits were further subjected to ADME and toxicity filters. Final filter was based on molecular docking analysis. Each screened molecule carries the characteristics of the highly electronegative groups on both sides separated by an average distance of 6 Å. Finally, the best predicted 20 compounds exhibited minimum three H-bonding interactions with Arg99 and Arg249. These identified hits can be further used for designing the more potent inhibitors against ASADH family. MD simulations were also performed on two selected compounds (NSC4862 and ZINC02534243) for further validation. During the MD simulations, both compounds showed same H-bonding interactions and remained bound to key active residues of Mtb-ASADH.

Dienophilic behavior of the vinylic (C=C) and the carbonyl (C=O) bonds of ketenes in reactions with 1,3-diazabuta-1,3-dienes.

[reaction: see text] Ab initio and density functional studies (DFT) on cycloaddition reactions of 1,3-diazabuta-1,3-dienes with ketenes are reported. The vinylic (C=C) and the carbonyl (C=O) units of the ketenes are found to participate in concerted asynchronous [4 + 2] cycloaddition reactions. The transition states (3t, 4t, and 7t) for these paths have been located on the PE surface at the correlated levels of ab initio calculations. A reasonable mechanism for the formation of [4 + 2] and [2 + 2] adducts is presented.

Detour matrix-based adjacent path eccentric distance sum indices for QSAR/QSPR. Part I: development and evaluation.

In the present study, three detour matrix-based topological indices (TIs) termed as adjacent path eccentric distance sum indices 1-3 (denoted by (A)ξ(1)(PDS), (A)ξ(2)(PDS) and (A)ξ(3)(PDS)) as well as their topochemical versions (denoted by (A)ξ(1c)(PDS), (A)ξ(2c)(PDS) and (A)ξ(3c)(PDS)) have been conceptualised. Values of the proposed TIs were computed for all possible cyclic and acyclic structures containing three, four, five vertices using an in-house computer programme. Proposed TIs were evaluated for discriminating power, degeneracy, intercorrelation and sensitivity towards branching as well relative position of substituent(s) in cyclic structures. Mathematical properties of one of the proposed TIs were also studied. Exceptionally high discriminating power, high sensitivity towards branching as well as relative position(s) of substituent(s) in cyclic structures and negligible degeneracy offer proposed indices a vast potential for use in characterisation of structures, similarity/dissimilarity studies, lead identification and optimisation, combinatorial library design and quantitative structure-activity/property/toxicity/pharmacokinetic relationship studies so as to facilitate drug design.

Explanation through density functional theory of the unanticipated loss of CO2 and differences in mass fragmentation profiles of ritonavir and its rCYP3A4-mediated metabolites.

In the present study, the metabolism of ritonavir was explored in the presence of rCYP3A4 using a well-established strategy involving liquid chromatography-mass spectrometry (LC-MS) tools. A total of six metabolites were formed, of which two were new, not reported earlier as CYP3A4-mediated metabolites. During LC-MS studies, ritonavir was found to fragment through six principal pathways, many of which involved neutral loss of CO2, as indicated through 44-Da difference between masses of the precursors and the product ions. This was unusual as the drug and the precursors were devoid of a terminal carboxylic acid group. Apart from the neutral loss of CO2, marked differences were also observed among the fragmentation pathways of the drug and its metabolites having intact N-methyl moiety as compared to those lacking N-methyl moiety. These unusual fragmentation behaviours were successfully explained through energy distribution profiles by application of the density functional theory.

2D QSAR Study for Gemfibrozil Glucuronide as the Mechanism-based Inhibitor of CYP2C8.

Mechanism-based inhibition of cytochrome P450 involves the bioactivation of the drug to a reactive metabolite, which leads to cytochrome inhibition via various mechanisms. This is generally seen in the Phase I of drug metabolism. However, gemfibrozil (hypolipidemic drug) leads to mechanism-based inhibition after generating glucuronide conjugate (gemfibrozil acyl-ß-glucuronide) in the Phase II metabolism reaction. The mechanism involves the covalent binding of the benzyl radical (generated from the oxidation of aromatic methyl group in conjugate) to the heme of CYP2C8. This article deals with the development of a 2D QSAR model based on the inhibitory potential of gemfibrozil, its analogues and corresponding glucuronide conjugates in inhibiting the CYP2C8-catalysed amodiaquine N-deethylation. The 2D QSAR model was developed using multiple linear regression analysis in Accelrys Discovery Studio 2.5 and helps in identifying the descriptors, which are actually contributing to the inhibitory potency of the molecules studied. The built model was further validated using leave one out method. The best quantitative structure activity relationship model was selected having a correlation coefficient (r) of 0.814 and cross-validated correlation coefficient (q(2)) of 0.799. 2D QSAR revealed the importance of volume descriptor (Mor15v), shape descriptor (SP09) and 3D matrix-based descriptor (SpMax_RG) in defining the activity for this series of molecules. It was observed that volume and 3D matrix-based descriptors were crucial in imparting higher potency to gemfibrozil glucuronide conjugate, as compared with other molecules. The results obtained from the present study may be useful in predicting the inhibitory potential (IC50 for CYP2C8 inhibition) of the glucuronide conjugates of new molecules and compare with the standard gemfibrozil acyl-ß-glucuronide (in terms of pIC50 values) in early stages of drug discovery and development.

Identification of druggable targets for Acinetobacter baumannii via subtractive genomics and plausible inhibitors for MurA and MurB.

Emergence of the multidrug-resistant pathogens has rendered the current therapies ineffective thereby, resulting in the need for new drugs and drug targets. The accumulating protein sequence data has initiated a drift from classical drug discovery protocols to structure-based drug designing. In the present study, in silico subtractive genomics approach was implemented to find a set of potential drug targets present in an opportunist bacterial pathogen, Acinetobacter baumannii (A. baumannii). Out of the 43 targets identified, further studies for protein model building and lead-inhibitor identification were carried out on two cell-essential targets, MurA and MurB enzymes (of A. baumannii designated as MurAAb and MurBAb) involved in the peptidoglycan biosynthesis pathway of bacteria. The homology model built for each of them was further refined and validated using various available programs like PROCHECK, Errat, ProSA energy plots, etc. Compounds showing activity against MurA and MurB enzymes of other organisms were collected from the literature and were docked into the active site of MurAAb and MurBAb enzymes. Three inhibitors namely, T6361, carbidopa, and aesculin, showed maximum Glide score, hydrogen bonding interactions with the key amino acid residues of both the enzymes and acceptable ADME properties. Furthermore, molecular dynamics simulation studies on MurAAb-T6361 and MurBAb-T6361 complexes suggested that the ligand has a high binding affinity with both the enzymes and the hydrogen bonding with the key residues were stable in the dynamic condition also. Therefore, these ligands have been propsed as dual inhibitors and promising lead compounds for the drug design against MurAAb and MurBAb enzymes.

Fourth generation detour matrix-based topological indices for QSAR/QSPR - part-1: development and evaluation.

In the present study, four detour matrix-based Topological Indices (TIs) termed as augmented path eccentric connectivity indices 1-4 (denoted by (AP)ξ(1)(C), (AP)ξ(2)(C), (AP)ξ(3)(C) and (AP)ξ(4)(C)) as well as their topochemical versions (denoted by (AP)ξ(1c)(C), (AP)ξ(2c)(C), (AP)ξ(3c)(C) and (AP)ξ(4c)(C)) have been conceptualised. A modified detour matrix termed as chemical detour matrix (Δ(c)) has also been proposed so as to facilitate computation of index values of topochemical versions of the said TIs. Values of the proposed TIs were computed for all the possible structures containing three, four and five vertices using an in-house computer program. The said TIs exhibited exceptionally high discriminating power and high sensitivity towards branching/relative position of substituent(s) in cyclic structures amalgamated with negligible degeneracy. Due care was taken during the development of TIs so as to ensure that reduction in index values of complex chemical structures to be within reasonable limits without compromising discriminating power. The mathematical properties of one of the proposed TIs have also been studied. With exceptionally high discriminating power, high sensitivity towards branching as well as relative position(s) of substituents in cyclic structures and negligible degeneracy, the proposed indices offer a vast potential for use in characterisation of structures, similarity/dissimilarity studies, lead identification and optimisation, combinatorial library design and quantitative structure-activity/property/toxicity/pharmacokinetic relationship studies.

Binding modes of 2,4-diaminoquinazoline and 2,4-diaminopteridine analogs to P. falciparum dihydrofolate reductase enzyme: Molecular docking studies.

A molecular docking study was carried out on 28 compounds belonging to 2,4-diaminoquinazoline and 2,4-diaminopteridine analogs using Glide, FlexX and GOLD programs and the X-ray crystallographic structures of the quadruple mutant (1J3K:pdb) and wild type (1J3I:pdb) Plasmodium falciparum dihydrofolate reductase enzyme. The experimental conformation the bound ligand WR99210 was precisely reproduced by the docking procedures as demonstrated by low (<2.00 Å) root-mean-square deviations. The results indicated that most of the compounds dock into the active sites of both the wild type and quadruple mutant P. falciparum dihydrofolate reductase enzymes. Visual inspection of the binding modes also demonstrated that most of the compounds could form H-bond interactions with the key amino acid residues (Asp54, Ile14 and Leu/Ile164) and with better docking scores than the bound compound (5). Their long side chains orient in the hydrophobic portion of the active site which is occupied by trichloro aryloxy side chain of WR99210 (5). Thus, avoid potential steric clashes with Asn108 (mutated from Ser108). Such a clash is known to be responsible for the resistance of the P. falciparum to pyrimethamine and cycloguanil.

Modeling and informatics in designing anti-diabetic agents.

Diabetes mellitus is a chronic metabolic disorder, characterized by glucose overproduction and glucose underutilization. Current therapy for T2DM includes drugs, like metformin, glitazones, sulphonyl ureas, etc. Extensive research has been carried out world wide on molecular targets for T2DM like PPARgamma, PTP1B, DPP-IV, GSK-3, cannabinoid receptor, fructose-bisphosphatases, beta3 adrenoceptor, etc. in the development of newer anti-diabetic agents. These therapeutic targets are quite important and most of them are suitable for in silico analysis. Hence, many molecular modeling and informatics studies like, molecular docking, pharmacophore mapping, 3D-QSAR, virtual screening, quantum chemical studies, and pharmacoinformatics like bioinformatics and chemoinformatics studies have been performed on the drugs/leads/targets associated with T2DM. Several of these in silico efforts are exemplary studies; the methodologies adopted in these studies can be emulated in many other therapeutic areas. A review of the rational approaches reported in designing anti-diabetic agents is presented in this article.