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Prolyl 4 Hydroxylase: A Critical Target in the Pathophysiology of Diseases
Kant, Ravi,Bali, Anjana,Singh, Nirmal,Jaggi, Amteshwar Singh The Korean Society of Pharmacology 2013 The Korean Journal of Physiology & Pharmacology Vol.17 No.2
Prolyl 4 hydroxylases (P4H) are iron- and 2-oxoglutamate-dependent dioxygenase enzymes and hypoxia-inducible transcription factor (HIF)-P4Hs play a critical role in the regulating oxygen homeostasis in the local tissues as well in the systemic circulation. Over a period of time, a number of prolyl hydroxylase inhibitors and activators have been developed. By employing the pharmacological tools and transgenic knock out animals, the critical role of these enzymes has been established in the pathophysiology of number of diseases including myocardial infarction, congestive heart failure, stroke, neurodegeneration, inflammatory disease, respiratory diseases, retinopathy and others. The present review discusses the different aspects of these enzymes including their pathophysiological role in disease development.
Kant Ravi,Sharma Tanmay,Bhardwaj Sumit,Kumar Kaushal 한국물리학회 2022 Current Applied Physics Vol.36 No.-
MgO-reduced graphene oxide nanocomposites (NCs) were synthesized by a simple two-step chemical method. The microstructure, surface morphology, and composition of the prepared samples have been studied. X-ray diffractometer (XRD) analysis confirmed the crystalline cubic MgO nanoparticle and rGO sheets. Scanning electron microscope (SEM) showed the spherical MgO nanoparticles well dispersed over the graphene sheets. UV–visible spectroscopy analysis demonstrated that a red shift in the wavelength dependent absorbance curve. The band gap of the samples was found to be decreased with the increase of rGO content. The dielectric studies have been examined in the frequency range 500 Hz− 5 MHz and found significant improvement in the dielectric constant, dielectric loss, and electric properties due to rGO addition. This is mainly attributed to the strong interfacial polarization (Maxwell–Wagner polarization) between MgO and rGO sheets. Further, the modulation of charge carrier density with rGO additions help to enhance the electrical conductivity of NCs and thus, encouraging to have wider application in electronic and energy technologies.
Estimating Normalized Attention of Viewers on Account of Relative Visual Saliency of Faces (NRVS)
Ravi kant kumar,Jogendra Garain,Goutam Sanyal,Dakshina Ranjan Kisku 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.7
Humans psychological and behavioral understanding often lead to make natural decision which accurately identifies and remembers the faces which are highly appreciated or criticized by themselves in comparing to the normal viewed faces, in terms of beauty, ugliness or unique appearance. It happens due to human psychology of being biased towards the salient face in the process of face recognition and identification. This paper attempts a novel method to measure, how our attention is more restricted towards some particular faces in the crowd. This restricted attention is strongly guided by the relative visual saliency of these faces. In this paper, normalized relative visual saliency (NVRS) of the faces is evaluated using their intensity values modulated with respective spatial distance. Experiment has been carried out on test image dataset via bottom up approach. The experimental results are found to be encouraging and accuracy has also been measured exhibiting efficacy of the proposed approach.
Prolyl 4 Hydroxylase: A Critical Target in the Pathophysiology of Diseases
Ravi Kant,Anjana Bali,Nirmal Singh,Amteshwar Singh Jaggi 대한약리학회 2013 The Korean Journal of Physiology & Pharmacology Vol.17 No.2
Prolyl 4 hydroxylases (P4H) are iron- and 2-oxoglutamate-dependent dioxygenase enzymes and hypoxia-inducible transcription factor (HIF)-P4Hs play a critical role in the regulating oxygen homeostasis in the local tissues as well in the systemic circulation. Over a period of time, a number of prolyl hydroxylase inhibitors and activators have been developed. By employing the pharmacological tools and transgenic knock out animals, the critical role of these enzymes has been established in the pathophysiology of number of diseases including myocardial infarction, congestive heart failure,stroke, neurodegeneration, inflammatory disease, respiratory diseases, retinopathy and others. The present review discusses the different aspects of these enzymes including their pathophysiological role in disease development.
Ravi Kant,Keshav Kumar Saini,Ravindra Kumar Upadhyay,Yogender Singh,Y. Veera Manohara Reddy,Shishu Pal Singh,M. Abdul Kareem,K. R. Dasegowda,H. Prabhavati,Rakesh Kumar,박종필,Lalita S. Kumar 한국생물공학회 2023 Biotechnology and Bioprocess Engineering Vol.28 No.5
To explore novel and potent compounds with anticancer activity, two series of 1H-1,2,3-triazole tethered dibenzosuberane conjugates (5a-i and 5j-n) were synthesized using a linear and convergent approach. The synthesized novel compounds were screened for their in vitro antiproliferative activity against HepG2 cell lines using the MTT assay to explore their binding interactions with the 5EQG protein. IC50 values revealed that the most active combination against HepG2 cell lines was triazole tethered with an ortho chloro-substituted aryl ring (5g) (IC50: 99.64 μg/mL). The other compounds in the series exhibited comparable cytotoxic activities against HepG2 cell lines. The results were substantiated by molecular docking studies. The majority of the compounds demonstrated high binding affinity for the active site of the targeted protein. In addition, in silico drug-likeness prediction by the ADMET method has been explored with these compounds. All synthesized novel derivatives were characterized by mass spectrometry, infrared spectroscopy, 1H-nuclear magnetic resonance (NMR) spectroscopy, and 13C-NMR spectroscopy.
An overview of microdiesel — A sustainable future source of renewable energy
Bhatia, Shashi Kant,Bhatia, Ravi Kant,Yang, Yung-Hun Elsevier 2017 RENEWABLE & SUSTAINABLE ENERGY REVIEWS Vol.79 No.-
<P><B>Abstract</B></P> <P>Microdiesel obtained from microbes using renewable materials as carbon sources is an important alternative to petroleum diesel. This review provides information related to microdiesel production using various carbon sources; i.e. carbon dioxide, C<SUB>2</SUB>, saccharides, and lignocellulose. Microbes can accumulate different contents of fatty acids in the form of triacylglycerol (TAG). Not all microbes store fatty acids and utilize a broad range of substrates as carbon sources, and vice versa. Microbes can be engineered to consume various carbon sources, and accumulate increased amounts of fatty acids with different composition. The properties of microdiesel depend on its fatty acid profile, which in turn determines its efficacy. The structural features of the fatty acids, such as carbon chain length, branching and degree of unsaturation, affect the physiochemical properties of the biodiesel (cetane number (CN), oxidation stability (OS), iodine value (IV), cold flow properties, density and kinematic viscosity). Fatty acid methyl ester (FAME) profiles can be used to evaluate the key properties of biodiesel, i.e. the stability of the oil used. The overview presented herein concludes that microdiesel production using non-feed carbon sources and genetically engineered microbes shows much promise.</P>
A Novel Anti-Jamming Technique for Cognitive Radio Network
Poonam,Ravi Kant,Chander Kumar Nagpal 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11
As the use of wireless applications is increasing every day; it results into shortage of limited available spectrum. Licensed spectrum is unutilized and unlicensed spectrum is overcrowded, so to increase the efficiency of allocated spectrum and to fulfill the need of unlicensed spectrum, CRN is proposed. Some routing protocols are designed for wireless communication keeping in mind that all nodes are cooperating. So this approach can solve the problem of spectrum scarcity. However due to the flexibility of such network, it is vulnerable to many security threats. Jamming attack is one of the most popular security threats which cause denial of service in the network. Various solutions are available in the literature to deal with jamming attack but still there are some open challenges in jamming attack. In this paper various anti-jamming techniques and analyze the open issues of jamming which are still there in the cognitive radio network. An anti-jamming technique is proposed in this paper to deal with the open issues. Simulation is done in MATLAB-2013 and results show that proposed method performs well.
Jogendra Garain,Ravi Kant Kumar,Goutam Sanyal,Dakshina Ranjan Kisku 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6
Selection of cohort models plays a vital role to increase the accuracy of a biometric authentication system as well as to reduce the computational cost. This paper proposes a novel approach for cohort selection called Max-Min-Centroid-Cluster (MMCC) method. The clusters of cohorts are generated by K-means clustering technique. The union of the clusters having largest and smallest centroid value is taken as cohort subset. The cohort scores, after normalization using different cohort based score normalization techniques, are used in authentication process of the system. Evaluation has been carried out on FEI face datasets. The performance of this novel methodology is analyzed using T-norm and Aggarwal (max rule) normalization techniques. Experimental results exhibit the efficacy of the proposed method.