372 research outputs found
Abirami M's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Abirami M's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Abirami M's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Effects of single nucleotide polymorphisms on human N-acetyltransferase 2 structure and dynamics by molecular dynamics simulation.
No full textBACKGROUND: Arylamine N-acetyltransferase 2 (NAT2) is an important catalytic enzyme that metabolizes the carcinogenic arylamines, hydrazine drugs and chemicals. This enzyme is highly polymorphic in different human populations. Several polymorphisms of NAT2, including the single amino acid substitutions R64Q, I114T, D122N, L137F, Q145P, R197Q, and G286E, are classified as slow acetylators, whereas the wild-type NAT2 is classified as a fast acetylator. The slow acetylators are often associated with drug toxicity and efficacy as well as cancer susceptibility. The biological functions of these 7 mutations have previously been characterized, but the structural basis behind the reduced catalytic activity and reduced protein level is not clear. METHODOLOGY/PRINCIPAL FINDINGS: We performed multiple molecular dynamics simulations of these mutants as well as NAT2 to investigate the structural and dynamical effects throughout the protein structure, specifically the catalytic triad, cofactor binding site, and the substrate binding pocket. None of these mutations induced unfolding; instead, their effects were confined to the inter-domain, domain 3 and 17-residue insert region, where the flexibility was significantly reduced relative to the wild-type. Structural effects of these mutations propagate through space and cause a change in catalytic triad conformation, cofactor binding site, substrate binding pocket size/shape and electrostatic potential. CONCLUSIONS/SIGNIFICANCE: Our results showed that the dynamical properties of all the mutant structures, especially in inter-domain, domain 3 and 17-residue insert region were affected in the same manner. Similarly, the electrostatic potential of all the mutants were altered and also the functionally important regions such as catalytic triad, cofactor binding site, and substrate binding pocket adopted different orientation and/or conformation relative to the wild-type that may affect the functions of the mutants. Overall, our study may provide the structural basis for reduced catalytic activity and protein level, as was experimentally observed for these polymorphisms
End to End Encryption using QKD Algorithm
No full textToday nearly all of the people are involved in communicating each other with the help of online communication. Nearly three fourth of the world are connected via social media. So it is very important to secure the data transmission between the user. And in addition to this future of computers will be of by Quantum technologies. So the In this paper we are going to see how to increase the security of online transmission through Quantum shift distribution algorithm. In this paper idea outlines the implementation of this most advanced level of encryption by Quantum Key Distribution method and importance of quantum cryptography in future. N. Abirami | M. Sri Nivetha | S. Veena "End to End Encryption using QKD Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18723.pd
METHOD DEVELOPMENT AND VALIDATION OF PREGABALIN AND ETORICOXIB IN BULK AND PHARMACEUTICAL DOSAGE FORM BY UV SPECTROSCOPY (STANDARD ADDITION) METHOD
No full textPrakash M., Abirami G.* and Vetrichelvan T
Not Available
No full textNot AvailableDevelopment of hybrid varieties will be one of the approaches in crop improvement programme and in this direction eleven chewing tobacco hybrids developed utilizing the popular chewing tobacco cultivars were evaluated in a replicated trial along with Bhagyalakshmi, Vairam and Abirami as checks for two consecutive years (2005-07), revealed that seven hybrids recorded significantly higher whole leaf yields ranging from 2514 to 2977 kg/ha over the best check Bhagyalakshmi. Five hybrids viz., PV-7 x Abirami, VD-1 x Abirami, Vairam x Abirami, Abirami x KV-1 and ms Meenakshi x GT-6 recorded significantly higher total leaf yields ranging from 3590 to 3914 kg/ha compared to the best check Abirami with the standard heterosis ranging from 9.81 to 19.73%. Variability in respect of yield component attributes such as leaf length, leaf width, stem girth etc., were also significant. In the bulk evaluation of the five promising hybrids (VDH-1 to VDH-5) selected from the said trial during 2006-09 in the out station centers, the hybrid Abirami x KV-1 (VDH-3) uniformly performed well registering highest mean cured leaf yield of 3962 kg/ha with an increase of 13.3% against the best check Abirami. It has got good chewing and chemical quality characters, less susceptibility to TMV, leaf curl, black shank, caterpillar and aphid attack.Not Availabl
Growth of Mannheimia haemolytica:Inhibitory agents and putative mechanism of inhibition
No full textThesis (Ph.D.), College of Veterinary Medicine, Washington State UniversityPneumonia is the most important disease of bighorn sheep (BHS). Pathogens detected in pneumonic BHS lungs include Mannheimia haemolytica, Bibersteinia trehalosi, Pasteurella multocida and Mycoplasma ovipneumoniae. Although leukotoxin-producing M. haemolytica consistently causes fatal pneumonia in BHS under experimental conditions, B. trehalosi and P. multocida are isolated more frequently than M. haemolytica from pneumonic BHS lungs by culture. In this study, I extended the previous findings from our laboratory that B. trehalosi and P. multocida inhibit the growth of M. haemolytica. I hypothesized that the inhibitory phenotype of B. trehalosi is conserved across B. trehalosi strains. Fifty-five B. trehalosi isolates were tested by bacterial competition assays. All of them inhibited M. haemolytica suggesting that the inhibitory phenotype is conserved. No plasmids were isolated from any of the 30 B. trehalosi isolates tested, suggesting that the effectors are chromosomally-encoded. The observation that M. haemolytica was not isolated frequently even from pneumonic BHS lungs that did not carry B. trehalosi or P. multocida led to my second hypothesis that bacteria other than B. trehalosi and P. multocida inhibit the growth of M. haemolytica. Bacterial competition assays showed that Escherichia coli also inhibits the growth of M. haemolytica via a proximity-dependent mechanism. Streptococcus spp. and Staphylococcus spp. did not have any inhibitory effect. Fatal pneumonia in BHS often results from acquisition of leukotoxin-positive M. haemolytica from domestic sheep (DS). I hypothesized that intranasal inoculation of B. trehalosi will eliminate or reduce shedding of M. haemolytica by DS. Domestic sheep were oro-nasally inoculated with B. trehalosi following antibiotic treatment. These DS shed reduced numbers of M. haemolytica than un-treated DS. However, healthy BHS commingled with B. trehalosi-treated DS acquired M. haemolytica around day 14 post-commingling which resulted in the development of leukotoxin-neutralizing antibodies. They did not develop pneumonia for 211 days. However, they died of pneumonia when commingled with DS that carried leukotoxin-positive M. haemolytica, B. trehalosi and M. ovipneumoniae. These findings suggest that B. trehalosi can be used to reduce the shedding of M. haemolytica by DS. However, infection with leukotoxin-positive M. haemolytica, B. trehalosi and M. ovipneumoniae synergistically causes fatal pneumonia in BHS.College of Veterinary Medicine, Washington State Universit
Finding secure communication channels via rainbow antimagic coloring of m-splitting graphs of paths
No full text[EN] Rainbow graph coloring constitutes
a useful tool to strengthen conventional connectivity and
ensure secure transmission of classified information among the
nodes of a communication network. This infomation flows in a
secure way via rainbow paths, where colors represent distinct
firewalls that prevent intruder attacks. Computing the so-called
rainbow connection number enables one to optimize the related
protocol by minimizing the number of these firewalls. This
paper delves into this topic by dealing with the rainbow graph
coloring of m-splitting graphs of paths. Based on the creation
of duplicated phantom nodes, this family of graphs allows the
creation of new firewalls and secure communication channels
among the original nodesTED2021-130566B-100 from Ministry of Science and Innovation of the Government of Spain
Modern technologies for big data classification and clustering Advances in data mining and database management (ADMDM) book series./ Hari Seetha, Vellore Institute of Technology-Andhra Pradesh, India ; M. Narasimha Murty, Indian Institute of Science, India ; B. K. Tripathy, VIT University, India
No full textIncludes bibliographical references and index"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms and information about new technologies, algorithms and platforms developed for handling large data"--Uncertainty-based clustering algorithms for large data sets / B. K. Tripathy, Hari Seetha, M. N. Murty -- Sentiment mining approaches for big data classification and clustering / Ashok Kumar J, Abirami S, Tina Esther Trueman -- Data compaction techniques / R. Raj Kumar, P. Viswanath, C. Shoba Bindu -- Methodologies and technologies to retrieve information from text sources / Anu Singha, Phub Namgay -- Twitter data analysis / Chitrakala S -- Use of social network analysis in telecommunication domain / Sushruta Mishra, Hrudaya Kumar Tripathy, Monalisa Mishra, Bijayalaxmi Panda -- A review on spatial big data analytics and visualization / Bangaru Kamatchi Seethapathy, Parvathi R -- A survey on overlapping communities in large-scale social networks / S Rao Chintalapudi, H. M. Krishna Prasad -- A brief study of approaches to text feature selection / Ravindra Babu Tallamaraju, Manas Kirti -- Biological big data analysis and visualization: a survey / Vignesh U, Parvathi R1 online resource (xxi, 360 pages)
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