Manika Awasthi

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

Alzheimers disease (AD) is a progressive and irreversible neurodegenerative disorder characterized by amyloid beta (Aβ) deposition in brain with subsequent formation of neuritic plaques leading to dementia. A number of therapeutic strategies targeted against Aβ 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 Aβ. 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 Aβ, 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 Aβ plaque formation using in silico approaches.

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.

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 Lipinskis 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.

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 (q2) of 0.827 was obtained. The best predictive CoMFA model explaining the biological activity of the training and test sets with correlation coefficient values (r2) 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.

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 (Aβ) peptides in brain. In the present study, two familial Aβ42 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 Aβ 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 Aβ42 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 Aβ plaque formation and its prevention by curcumin.

A Comprehensive Review on Function and Application of PlantPeroxidases

Peroxidases, one of the key antioxidant enzymes, are widely distributed in nature and catalyze oxidation of various electron donor substrates concomitant with the decomposition of H2O2. The non-animal plant peroxidases (class III peroxidase) are involved in various essential physiological processes of plant growth and development throughout their life cycle. In view of the capability of peroxidases to catalyze the redox reaction for a wide range of substrates, they are considered as one of the important enzyme from the point of view of their various medicinal, biochemical, immunological, biotechnological and industrial applications. They have been successfully used for biopulping and biobleaching in the paper and textile industries. Peroxidases have also been used in organic synthesis, bioremediation, as well as various analytical applications in diagnostic kits, ELISA. Peroxidase based biosensors find application in analytical systems for determination of hydrogen peroxide, glucose, alcohols, glutamate, and choline etc. Thus, in view of array of physiological functions as well as industrial applications, the peroxidases have conquered a dominant position in research groups and become one of the most extensively studied enzymes. In this direction, the present review embodies the classification, mechanism of action, major physiological functions as well as industrial applications of plant peroxidases.

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 IIβ 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.

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.

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.

Terpenoids as promising therapeutic molecules against Alzheimer’s disease: amyloid beta- and acetylcholinesterase-directed pharmacokinetic and molecular docking analyses

Abstract Alzheimer’s disease (AD) is a progressive neurological disorder of brain encompassing deterioration of cognitive functions and behavioural changes eventually leading to cell death and dementia. Several attempts have been made to treat AD by the use of combined drug therapy against acetylcholinesterase (AChE) and amyloid beta (Aβ) simultaneously with the aim to delay its progress. However, side effects of long-term administration of these drugs have directed research towards development of a new generation of therapeutics based on natural compounds. In this regard, one hundred terpenoids were analysed for their inhibitory potential against AChE and Aβ through molecular docking approach. The selected terpenoids were further screened for their pharmacokinetic properties, among which only 25 terpenoids were found to fulfil all the ADMET descriptors and drug likeness properties which are essential for ensuring the development of safer drugs. A triterpene, nimbolide, was found to be the most potent and safe inhibitor for both AChE and Aβ as compared to their respective drugs/known inhibitors. The results of docking were further confirmed using molecular dynamics simulation analysis of complexes of nimbolide with both the targets. Thus, the present work makes a foundation for further clinical investigations of nimbolide as a drug against AD.