Targeting NM23-H1-mediated Inhibition of Tumour Metastasis in Viral Hepatitis with Bioactive Compounds from Ganoderma lucidum: A Computational Study

Kumar, Sachin; Girija, A. S. Smiline; Priyadharsini, J. Vijayashree

doi:10.36468/pharmaceutical-sciences.650

Cited by 78 publications

(69 citation statements)

References 9 publications

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“…Target identification is an important component for the development of therapeutic and diagnostic markers for metabolic, infectious [20][21][22][23][24][25], autoimmune [26,27,28] and systemic disorders. Computational tools have long been used for the purpose of rapid identification of these potential targets from several sources [29][30]. Dental caries being a serious illness in children has to be identified at the right time and treated using drugs that do not give rise to resistant forms [31][32][33][34].…”

Section: Resultsmentioning

confidence: 99%

Virtual Screening to Identify the Protein Network Interactions of Triclosan with Streptococcus mutans and Enterococcus faecalis

Hariprasanth

Priyadharsini

Girija

et al. 2021

JPRI

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Introduction: Triclosan is considered to be an important ingredient in toothpastes and mouth rinses. Several studies have reported contradictory results regarding the antimicrobial effect of triclosan. Hence, the present in silico study intends to identify the potential targets of triclosan in two common dental pathogens Streptococcus mutans and Enterococcus faecalis. Aim: To identify the protein network interactions of triclosan in Streptococcus mutans and Enterococcus faecalis by virtual screening method. Materials and Methods: The STITCH v5.0 database was initially used for identifying drug-protein interactions followed by VICMPred and VirulentPred which was employed to identify functional class of the proteins and its virulence property. Finally, BepiPred v1.0 Linear Epitope Prediction tool was used to identify the potential epitopes of the virulent proteins. Results: Triclosan was found to interact with crucial proteins in S. mutans and E. faecalis which could contribute to severe forms of periodontitis and endodontic diseases. Conclusion: Taken together, the present study provides the preliminary data on the potential targets of triclosan in common dental pathogens. Further experimental validation is warranted to provide concrete evidence on the molecular targets of dental pathogens.

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Section: Resultsmentioning

confidence: 99%

Virtual Screening to Identify the Protein Network Interactions of Triclosan with Streptococcus mutans and Enterococcus faecalis

Hariprasanth

Priyadharsini

Girija

et al. 2021

JPRI

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“…In line with these facts, berberine was chosen for the study to identify its potential targets in red complex pathogens. Our research team has embarked on identifying the potential molecular targets of different plant compounds against dental pathogens with a special emphasis on periodontal pathogens and emerging drug resistant species [22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Resultsmentioning

confidence: 99%

Virtual Screening to Identify the Protein Network Interaction of Berberine with Red Complex Pathogens

Abinaya

Priyadharsini

Girija

et al. 2021

JPRI

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Introduction: Periodontal disease is an infection of the tissues that hold your teeth in place. It's typically caused by poor brushing and flossing habits that allow plaque, a sticky film of bacteria, to build up on the teeth and harden. Elimination of these pathogens from the site of infection remains a perplexing task, which demands the use of antibiotics. The emergence of drug resistant forms has spurred interest into identifying novel therapeutic targets against these pathogens. Aim: The present study employs virtual screening method to identify the protein network interaction of berberine with red complex pathogens. Materials and Methods: Computational tools were used to identify the targets, assess their functional role and virulence property. Further, the peptide epitopes present in the virulence factors were identified using the BepiPred tool. The subcellular location of the virulence proteins was also elucidated using PSORTb. Results: Berberine was found to target vital protein transporters such as TetR family transcriptional regulator and MerR family transcriptional regulator, which is known to play a crucial role in the survival of bacterial cells. Conclusion: Hence the present study provides preliminary data on the protein targets of berberine against red complex pathogens. However, in vitro studies using the compound is warranted to further confirm the efficacy of the compound.

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“…Therefore, there is a need for a search of an alternate antidiabetic agent [19]. Evidence has shown that copper nanoparticles synthesised from medicinal plant Dioscorea bulbifera tuber extract showed antioxidant and antidiabetic activity [20].Our team has extensive knowledge and research experience that has translate into high quality publications [21][22][23][24][25][26][27][28][29][30][31][32], [33][34][35][36][37]. [38] [39] [40].…”

Section: Introductionmentioning

confidence: 99%

Biosynthesis of Copper Nanoparticles using Mucuna Pruriens and its Antioxidant and Antidiabetic Activity

Ali

Geetha

Rajeshkumar

2021

JPRI

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Introduction: The field of Nanotechnology has gained importance since last century. Nanoparticles can be used in medicine due to its increased interaction with microbes and has less side effects than drugs. Antioxidant compounds scavenge free radicals and inhibit the oxidative mechanisms that lead to degenerative diseases. There is a growing number of diabetes patients all over the world. Wide varieties of synthetic drugs are being used for the treatment of Type 2 diabetes mellitus, most of them possess side effects in the long run such as hepatotoxicity, abdominal pain, flatulence and diarrhea. Therefore, there is a need for a search of an alternate antidiabetic agent Aim: The aim of the study is to synthesize Copper nanoparticles from Mucuna pruriens and to evaluate its antioxidant and antidiabetic activity. Materials and methods: Plant extract of Mucuna pruriens was prepared and filtered by Whatman No 1 filter paper. Copper sulphate was added to the plant extract and kept in a magnetic stirrer for nanoparticle synthesis. The synthesized nanoparticle was preliminarily analysed using UV visible spectroscopy. Finally the left over solution was taken to calculate antioxidant activity and antidiabetic activity. Results: Antioxidant activity was calculated by DPPH method and the percentage of inhibition of copper nanoparticles synthesised from Mucuna pruriens was 58.5% for 10µL, 59.6% for 20µL, 67.5% for 30µL, 71.4% for 40µL and 72.3% for 50µL. Antidiabetic activity was calculated by alpha-amylase inhibitory assay and the percentage of inhibition of copper nanoparticles synthesised from Mucuna pruriens was 66% for 10µL, 69% for 20µL, 73% for 30µL, 79% for 40µL and 80% for 50µL. Conclusion: We can conclude that copper nanoparticles synthesised from Mucuna pruriens are a potent antioxidant and antidiabetic agent. Since it shows a good activity in free radical scavenging, copper nanoparticles can be used in a clinical therapeutic application and also in the management of type 2 diabetes mellitus.

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Targeting NM23-H1-mediated Inhibition of Tumour Metastasis in Viral Hepatitis with Bioactive Compounds from Ganoderma lucidum: A Computational Study

Cited by 78 publications

References 9 publications

Virtual Screening to Identify the Protein Network Interactions of Triclosan with Streptococcus mutans and Enterococcus faecalis

Virtual Screening to Identify the Protein Network Interactions of Triclosan with Streptococcus mutans and Enterococcus faecalis

Virtual Screening to Identify the Protein Network Interaction of Berberine with Red Complex Pathogens

Biosynthesis of Copper Nanoparticles using Mucuna Pruriens and its Antioxidant and Antidiabetic Activity

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