Publications by authors named "Manika Awasthi"

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.

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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.

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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.

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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.

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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.

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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.

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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.

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Alzheimer's 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.

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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.

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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.

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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.

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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.

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