Modulation in the conformational and stability attributes of the Alzheimer's disease associated amyloid-beta mutants and their favorable stabilization by curcumin: molecular dynamics simulation analysis.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive accumulation of amyloid-beta (Aß) peptides in brain. In the present study, two familial Aß42 mutations, namely A2V (harmful) and A2T (protective) have been analyzed and compared with the wild-type (WT) by performing all-atom molecular dynamics (MD) simulations in the absence and presence of curcumin, a well-known inhibitor of Aß plaque formation. Mutant A2V was found to exhibit highest stability followed by WT and mutant A2T in the absence of curcumin. This stability trend was found to be reversed in the presence of curcumin, suggesting a significant change in the conformational landscape of Aß42 folding. Due to significant differences in the folding and interaction patterns of the mutants A2V and A2T, curcumin exhibited higher binding affinity for mutant A2T as compared to that of A2V. To the best of our knowledge, this is the first report on the effect of curcumin binding on structural landscapes of the two contrasting point mutants providing an understanding of the basis of Aß plaque formation and its prevention by curcumin.

Natural Products as Anticancerous Therapeutic Molecules with Special Reference to Enzymatic Targets Topoisomerase, COX, LOX and Aromatase.

Cancer, characterized by uncontrolled growth and proliferation of cells, is affecting millions of people every year and estimated as the second leading cause of death. Its successful treatment yet remains a challenge due to the lack of selectivity, toxicity and the development of multidrug resistant cells to the currently available drugs. Plant derived natural products hold great promise for discovery and development of new pharmaceuticals against cancer as evident by the fact that out of 121 drugs prescribed for cancer treatment till date, 90 are derived from plant sources. Furthermore, the plant derived therapeutic molecules are also considered as safer substitutes to those of synthetic ones. In this review, the therapeutic potentials of plant derived natural products belonging to secondary metabolites, namely alkaloids, flavonoids and terpenoids as anticancer molecules, involving various strategies of treatment, have been discussed with special reference to topoisomerases (Topo), cyclooxygenases (COX), lipoxygenase (LOX) and aromatase as enzymatic targets for various types of cancers. Furthermore, in view of the recent advances made in the field of computer aided drug design, the present review also discusses the use of computational approaches such as ADMET, molecular docking, molecular dynamics simulation and QSAR to assess and predict the safety, efficacy, potency and identification of such potent anticancerous therapeutic molecules.

Modulation of interaction of mutant TP53 and wild type BRCA1 by alkaloids: a computational approach towards targeting protein-protein interaction as a futuristic therapeutic intervention strategy for breast cancer impediment.

Protein-protein interactions (PPI) are a new emerging class of novel therapeutic targets. In order to probe these interactions, computational tools provide a convenient and quick method towards the development of therapeutics. Keeping this in view the present study was initiated to analyse interaction of tumour suppressor protein p53 (TP53) and breast cancer associated protein (BRCA1) as promising target against breast cancer. Using computational approaches such as protein-protein docking, hot spot analyses, molecular docking and molecular dynamics simulation (MDS), stepwise analyses of the interactions of the wild type and mutant TP53 with that of wild type BRCA1 and their modulation by alkaloids were done. Protein-protein docking method was used to generate both wild type and mutant complexes of TP53-BRCA1. Subsequently, the complexes were docked using sixteen different alkaloids, fulfilling ADMET and Lipinski's rule of five criteria, and were compared with that of a well-known inhibitor of PPI, namely nutlin. The alkaloid dicentrine was found to be the best docked alkaloid among all the docked alklaloids as well as that of nutlin. Furthermore, MDS analyses of both wild type and mutant complexes with the best docked alkaloid i.e. dicentrine, revealed higher stability of mutant complex than that of the wild one, in terms of average RMSD, RMSF and binding free energy, corroborating the results of docking. Results suggested more pronounced interaction of BRCA1 with mutant TP53 leading to increased expression of mutated TP53 thus showing a dominant negative gain of function and hampering wild type TP53 function leading to tumour progression.

Chitosan immobilized novel peroxidase from Azadirachta indica: Characterization and application.

In the present paper, a peroxidase was purified from the leaves of a medicinal tree, namely Azadirachta indica, to 45.2 folds with overall recovery of 61%. Based on the subunit size, the purified peroxidase was suggested to be a monomeric structure of size 50kDa and exhibited good thermostability as it was fully stable at 65°C for 1hr and also retained about 73% activity at 70°C till 30min. The substrate affinity was found to be in order of guaiacol>pyrogallol>o-dianisidine. The purified peroxidase was found to be insensitive towards high concentrations of Na+, Ca2+, Mg2+ and Mn2+. Heavy metals, namely Cs2+, Co2+ and Cd2+ activated the peroxidase while that of Hg2+ deactivated the peroxidase in concentration dependent manner. The purified peroxidase exhibited tolerance towards organic solvents in order of ethanol>butanol>isopropanol>acetone. Immobilization of purified peroxidase by entrapment into chitosan beads led to shift in its optimum pH from pH 5 to 7 and considerable enhancement in dye decolorization ability as compared to that of free enzyme. Thus, based on all the above properties, it may be suggested that the purified A. indica peroxidase is a promising candidate for industrial applications.

Lipoxygenase directed anti-inflammatory and anti-cancerous secondary metabolites: ADMET-based screening, molecular docking and dynamics simulation.

Lipoxygenases (LOXs), key enzymes involved in the biosynthesis of leukotrienes, are well known to participate in the inflammatory and immune responses. With the recent reports of involvement of 5-LOX (one of the isozymes of LOX in human) in cancer, there is a need to find out selective inhibitors of 5-LOX for their therapeutic application. In the present study, plant-derived 300 anti-inflammatory and anti-cancerous secondary metabolites (100 each of alkaloids, flavonoids and terpenoids) have been screened for their pharmacokinetic properties and subsequently docked for identification of potent inhibitors of 5-LOX. Pharmacokinetic analyses revealed that only 18 alkaloids, 26 flavonoids, and 9 terpenoids were found to fulfill all the absorption, distribution, metabolism, excretion, and toxicity descriptors as well as those of Lipinski's Rule of Five. Docking analyses of pharmacokinetically screened metabolites and their comparison with a known inhibitor (drug), namely zileuton revealed that only three alkaloids, six flavonoids and three terpenoids were found to dock successfully with 5-LOX with the flavonoid, velutin being the most potent inhibitor among all. The results of the docking analyses were further validated by performing molecular dynamics simulation and binding energy calculations for the complexes of 5-LOX with velutin, galangin, chrysin (in order of LibDock scores), and zileuton. The data revealed stabilization of all the complexes within 15 ns of simulation with velutin complex exhibiting least root-mean-square deviation value (.285 ± .007 nm) as well as least binding energy (ΔGbind = -203.169 kJ/mol) as compared to others during the stabilization phase of simulation.

Plant derived anti-cancerous secondary metabolites as multipronged inhibitor of COX, Topo, and aromatase: molecular modeling and dynamics simulation analyses.

In the present study, 300 plant derived secondary metabolites (100 each of alkaloid, flavonoid, and terpenoid), have been screened for their anti-cancerous activity through inhibition of selected key enzymatic targets, namely cyclooxygenases (COXs), topoisomerases (Topos), and aromatase by molecular docking approach. Furthermore, the stability of the complexes of top hits, from each class of secondary metabolites, with their respective enzymatic targets was analyzed using molecular dynamics (MD) simulation analyses and binding free energy calculations. Analysis of the results of the docking in light of the pharmacokinetically screened 18 alkaloids, 26 flavonoids, and 9 terpenoids, revealed that the flavonoid, curcumin, was the most potent inhibitor for all the selected enzymatic targets. The stability of the complexes of COX-1, COX-2, Topo I, Topo IIß and aromatase with the most potent inhibitor curcumin and those of the respective drugs, namely ibuprofen, aspirin, topotecan, etoposide, and exemestane were also analyzed through MD simulation analyses which revealed better stability of curcumin complexes than those of respective drugs. Binding energy calculations of the complexes of the curcumin with all the targets, except those of Topos, exhibited lower binding energies for the curcumin complexes than those of respective drugs which corroborated with the results of molecular docking analyses. Thus, the present study affirms the versatile and multipronged nature of curcumin, the traditionally used herbal medicine, as anti-cancer molecule directed against these enzymatic targets.

Citrus Functional Genomics and Molecular Modeling in Relation to Citrus sinensis (Sweet Orange) Infection with Xylella fastidiosa (Citrus Variegated Chlorosis).

Citrus are among the economically most important fruit tree crops in the world. Citrus variegated chlorosis (CVC), caused by Xylella fastidiosa infection, is a serious disease limiting citrus production at a global scale. With availability of citrus genomic resources, it is now possible to compare citrus expressed sequence tag (EST) data sets and identify single-nucleotide polymorphisms (SNPs) within and among different citrus cultivars that can be exploited for citrus resistance to infections, citrus breeding, among others. We report here, for the first time, SNPs in the EST data sets of X. fastidiosa-infected Citrus sinensis (sweet orange) and their functional annotation that revealed the involvement of eight C. sinensis candidate genes in CVC pathogenesis. Among these genes were xyloglucan endotransglycosylase, myo-inositol-1-phosphate synthase, and peroxidase were found to be involved in plant cell wall metabolism. These have been further investigated by molecular modeling for their role in CVC infection and defense. Molecular docking analyses of the wild and the mutant (SNP containing) types of the selected three enzymes with their respective substrates revealed a significant decrease in the binding affinity of substrates for the mutant enzymes, thus suggesting a decrease in the catalytic efficiency of these enzymes during infection, thereby facilitating a favorable condition for infection by the pathogen. These findings offer novel agrigenomics insights in developing future molecular targets and strategies for citrus fruit cultivation in ways that are resistant to X. fastidiosa infection, and by extension, with greater harvesting efficiency and economic value.

Alzheimer's disease: An overview of amyloid beta dependent pathogenesis and its therapeutic implications along with in silico approaches emphasizing the role of natural products.

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disorder characterized by amyloid beta (Aß) deposition in brain with subsequent formation of neuritic plaques leading to dementia. A number of therapeutic strategies targeted against Aß depositions have been rigorously explored which provided successful results corresponding to the existing symptomatic treatments. However, at the same time, several failures corresponding to the disease altering therapies and drugs have also been observed due to potential drawbacks in understanding of the pathogenesis of the disease, development of drug candidates and subsequent designing of clinical trials. Preclinical research, along with experimental and clinical studies, is continuously providing novel information which may reveal multi-target directed ligands and combination therapies for targeting Aß. Thus, in view of the estimated increase in the number of AD patients globally, the present review attempts to summarize the available evidence dealing with various therapeutic approaches targeting Aß, focusing specifically on pharmaceutical compounds under various stages of clinical trials. Furthermore, in view of a number of computational advances having significant impact in the field of computer aided drug design, we have also presented results of analysis of natural compounds as potential therapeutic molecules in preventing Aß plaque formation using in silico approaches.

DNA topoisomerase-directed anticancerous alkaloids: ADMET-based screening, molecular docking, and dynamics simulation.

Topoisomerases (Topo I and II) have been looked as crucial targets against various types of cancers. In the present paper, 100 anticancerous alkaloids were subjected to in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) analyses to investigate their pharmacokinetic properties. Out of 100 alkaloids, only 18 were found to fulfill all the ADMET descriptors and obeyed the Lipinski's rule of five. All the 18 alkaloids were found to dock successfully within the active site of both Topo I and II. A comparison of the inhibitory potential of 18 screened alkaloids with those of selected drugs revealed that four alkaloids (oliveroline, coptisine, aristolactam, and piperine) inhibited Topo I, whereas six alkaloids (oliveroline, aristolactam, anonaine, piperine, coptisine, and liriodenine) inhibited Topo II more strongly than those of their corresponding drugs, topotecan and etoposide, respectively, with oliveroline being the outstanding. The stability of the complexes of Topo I and II with the best docked alkaloid, oliveroline, was further analyzed using 10 nSec molecular dynamics simulation and compared with those of the respective drugs, namely, topotecan and etoposide, which revealed stabilization of these complexes within 5 nSec of simulation with better stability of Topo II complex than that of Topo I.

Treponema pallidum putative novel drug target identification and validation: rethinking syphilis therapeutics with plant-derived terpenoids.

Syphilis, a slow progressive and the third most common sexually transmitted disease found worldwide, is caused by a spirochete gram negative bacteria Treponema pallidum. Emergence of antibiotic resistant T. pallidum has led to a search for novel drugs and their targets. Subtractive genomics analyses of pathogen T. pallidum and host Homo sapiens resulted in identification of 126 proteins essential for survival and viability of the pathogen. Metabolic pathway analyses of these essential proteins led to discovery of nineteen proteins distributed among six metabolic pathways unique to T. pallidum. One hundred plant-derived terpenoids, as potential therapeutic molecules against T. pallidum, were screened for their drug likeness and ADMET (absorption, distribution, metabolism, and toxicity) properties. Subsequently the resulting nine terpenoids were docked with five unique T. pallidum targets through molecular modeling approaches. Out of five targets analyzed, D-alanine:D-alanine ligase was found to be the most promising target, while terpenoid salvicine was the most potent inhibitor. A comparison of the inhibitory potential of the best docked readily available natural compound, namely pomiferin (flavonoid) with that of the best docked terpenoid salvicine, revealed that salvicine was a more potent inhibitor than that of pomiferin. To the best of our knowledge, this is the first report of a terpenoid as a potential therapeutic molecule against T. pallidum with D-alanine:D-alanine ligase as a novel target. Further studies are warranted to evaluate and explore the potential clinical ramifications of these findings in relation to syphilis that has public health importance worldwide.

Molecular docking and dynamics simulation analyses unraveling the differential enzymatic catalysis by plant and fungal laccases with respect to lignin biosynthesis and degradation.

Laccase, widely distributed in bacteria, fungi, and plants, catalyzes the oxidation of wide range of compounds. With regards to one of the important physiological functions, plant laccases are considered to catalyze lignin biosynthesis while fungal laccases are considered for lignin degradation. The present study was undertaken to explain this dual function of laccases using in-silico molecular docking and dynamics simulation approaches. Modeling and superimposition analyses of one each representative of plant and fungal laccases, namely, Populus trichocarpa and Trametes versicolor, respectively, revealed low level of similarity in the folding of two laccases at 3D levels. Docking analyses revealed significantly higher binding efficiency for lignin model compounds, in proportion to their size, for fungal laccase as compared to that of plant laccase. Residues interacting with the model compounds at the respective enzyme active sites were found to be in conformity with their role in lignin biosynthesis and degradation. Molecular dynamics simulation analyses for the stability of docked complexes of plant and fungal laccases with lignin model compounds revealed that tetrameric lignin model compound remains attached to the active site of fungal laccase throughout the simulation period, while it protrudes outwards from the active site of plant laccase. Stability of these complexes was further analyzed on the basis of binding energy which revealed significantly higher stability of fungal laccase with tetrameric compound than that of plant. The overall data suggested a situation favorable for the degradation of lignin polymer by fungal laccase while its synthesis by plant laccase.

Molecular docking and 3D-QSAR-based virtual screening of flavonoids as potential aromatase inhibitors against estrogen-dependent breast cancer.

Aromatase, catalyzing final step of estrogen biosynthesis, is considered a key target for the development of drug against estrogen-dependent breast cancer (EDBC). Identification and development of naturally occurring compounds, such as flavonoids, as drugs against EDBC is in demand due to their lesser toxicity when compared to those of synthetic ones. Thus, a three-dimensional quantitative structure-activity relationship, using comparative molecular field analysis (CoMFA) was done on a series of 45 flavonoids against human aromatase. A significant cross-validated correlation coefficient (q(2)) of 0.827 was obtained. The best predictive CoMFA model explaining the biological activity of the training and test sets with correlation coefficient values (r(2)) of 0.916 and 0.710, respectively, when used for virtual screening of a flavanoids database following molecular docking revealed a flavanone namely, 7-hydroxyflavanone beta-D-glucopyranoside showing highest predicted activity of 1.09 µM. In comparison to a well-established inhibitor of aromatase, namely 7-hydroxyflavanone (IC50: 3.8 µM), the derivative identified in the present study, namely 7-hydroxyflavanone beta-D-glucopyranoside exhibited about 3.5 folds higher inhibitory activity against aromatase. The result of virtual screening was further validated using molecular dynamics (MD) simulation analysis. Thus, a 25 ns MD simulation analysis revealed high stability and effective binding of 7-hydroxyflavanone beta-D-glucopyranoside within the active site of aromatase. To the best of our knowledge, this is the first report of CoMFA-based QSAR model for virtual screening of flavonoids as inhibitors of aromatase.