Sam Higginbottom Institute of Agriculture, Technology and science , formerly Allahabad Agricultural Institute is a government aided deemed university located in Allahabad, India.Established in 1910 by Dr. Sam Higginbottom as Allahabad Agricultural Institute towards improving the economic status of rural population. It became the first institute in India to offer a degree in Agricultural Engineering in 1942.As a tribute to its founder, the institution submitted a proposal to the Ministry of Human Resource Development in 2009 to re-christen Allahabad Agricultural Institute as Sam Higginbottom Institute of Agriculture, Technology and science. The Institute was conferred deemed university status on 15 March 2000 and got certified as a Christian Minority Educational Institution in December 2005. The MHRD has placed SHIATS in the list of elite category 'A' deemed universities on the basis of the expert committee recommendation.The academic infrastructure of the university is organized into eight faculties — which are divided into twenty two constituent schools. It contains a total of seventy eight academic departments and three research centres with emphasis on scientific, agricultural, technological education and research. Since its inception, the institute has produced many notable scientists, geneticists and agricultural engineers. While having completed its own hospital, Hayes Memorial Mission Hospital, the university is in the process of starting a medical college as per Medical Council of India norms. Wikipedia.
Gahoi S.,Sam Higginbottom Institute of Agriculture |
Gautam B.,Sam Higginbottom Institute of Agriculture
Computational Biology and Chemistry | Year: 2017
The root-knot nematode, Meloidogyne incognita causes significant damage to various economically important crops. Infection is associated with secretion of effector proteins into host cytoplasm and interference with host innate immunity. To combat this infection, the identification and functional annotations of Excretory/Secretory (ES) proteins serve as a key to produce durable control measures. The identification of ES proteins through experimental methods are expensive and time consuming while bioinformatics approaches are cost-effective by prioritizing the experimental analysis of potential drug targets for parasitic diseases. In this study, we predicted and functionally annotated the 1889 ES proteins in M. incognita genome using integration of several bioinformatics tools. Of these 1889 ES proteins, 473 (25%) had orthologues in free living nematode Caenorhabditis elegans, 825(67.8%) in parasitic nematodes whereas 561 (29.7%) appeared to be novel and M. incognita specific molecules. Of the C. elegans homologues, 17 ES proteins had “loss of function phenotype” by RNA interference and could represent potential drug targets for parasite intervention and control. We could functionally annotate 429 (22.7%) ES proteins using Gene Ontology (GO) terms, 672 (35.5%) proteins to protein domains and established pathway associations for 223 (11.8%) sequences using Kyoto Encyclopaedia of Genes and Genomes (KEGG). The 162 (8.5%) ES proteins were also mapped to several important plant cell-wall degrading CAZyme families including chitinase, cellulase, xylanase, pectate lyase and endo-β-1,4-xylanase. Our comprehensive analysis of M. incognita secretome provides functional information for further experimental study. © 2017 Elsevier Ltd
PubMed | King Abdulaziz University, Sam Higginbottom Institute of Agriculture, University Institute of Pharmacy, Jamia Hamdard University and 2 more.
Type: Journal Article | Journal: BMC complementary and alternative medicine | Year: 2016
Natural products use for arthritis treatment is gaining importance in the medical worldt. Various studies reports medical importance of Melastoma malabathricum Linn. (MM) (Melastomataceae), also known as putki, has a broad range of health benefits, for its free radical scavenging constituents. The current investigation scrutinizes the antioxidant and anti-inflammatory effect of MM against adjuvant-induced arthritis in experimental rats.High-performance thin layer chromatography (HPTLC) was used for estimation of phytochemical-constituents present in the MM extract. Protective effect of MM extract in Wistar rats was estimated using CFA-induced model. The rats were divided into different groups with six rats in each group. All animals received oral administration of MM and indomethacin for 28days. The body weight and arthritic score were scrutinized at regular intervals. At the end of experimental protocol, the rats were sacrificed, and blood samples were used for antioxidant, hematological parameters, pro-inflammatory and inflammatory mediator, respectively. Histopathological observation was used to evaluate the protective effect of MM extract.Current study confirmed the preventive effect of MM against adjuvant-induced paw edema, paw redness and arthritic progression. MM significantly (P<0.001) modulated the oxidative stress parameters as well as hematological parameter induced by CFA. The result also altered the distorted level of proinflammatory mediators and inflammatory mediator, which further reinforce the implication of MM in CFA induced arthritis. Histological analyses of joints of rats showed a reduction in the synovial hyperplasia and mononuclear infiltration in the MM treated group which provides evidence for the antiarthritic effect of MM.From above parameters our study states that the MM is capable of restraining the alteration produced via adjuvant-induced arthritis in aminals. The repressing effect of MM could be attributed, at least in part, to antioxidant, hematological and anti-inflammatory effect. Figure Caption: Melastoma Malabathricum Linn Attenuates Complete Freunds Adjuvant-Induced Chronic Inflammation in Wistar rats by Inflammation Response.
Verma A.,Sam Higginbottom Institute of Agriculture |
Prateek P.,Sam Higginbottom Institute of Agriculture |
Prateek P.,Subharti University |
Thakur A.,Sam Higginbottom Institute of Agriculture |
And 3 more authors.
International Journal of ChemTech Research | Year: 2016
(Formula presented) A series of novel 4-aminoquinoline 1, 3, 5-triazine derivatives were synthesized via Six step reactions. All synthesized compounds were characterized by FT-IR, 1HNMR, 13CNMR And Mass spectrometry. The antibacterial activity of 10 synthesized compounds were tested against three gram positive bacteria Bacillus subtilis (NCIM-2063), Bacillus cereus (NCIM-2156), Staphylococcus aureus (NCIM-2079) and four gram negative bacteria Proteus vulgaris (NCIM-2027), Proteus mirabilis (NCIM-2241), Escherichia coli (NCIM-2065), Pseudomonas aeruginosa (NCIM-2036) by using ciprofloxacin as reference standard drug. Compound 11i and 11j were found most potent among synthesized derivatives, against all bacterial strains. © 2016, Sphinx Knowledge House. All rights reserved.
PubMed | University of Florida, Sam Higginbottom Institute of Agriculture, University of Algarve and Zagazig University
Type: | Journal: Journal of invertebrate pathology | Year: 2017
Relationships between entomopathogenic nematodes (EPNs), nematophagous fungi (NF) and soil physical and chemical properties were studied in a survey of 53 citrus orchards in central ridge and flatwoods ecoregions of Florida. Seven species of NF associated with nematodes were quantified directly using a real time qPCR assay. All nematophagous fungi studied exceptArthrobotrys musiformis andHirsutella rhossiliensiswere frequently detected (24-56%) in both regions.Paecilomyces lilacinusandGamsylella gephyropagumwere encountered more frequently in the flatwoods (P = 0.03) and on the ridge (P = 0.02), respectively. Redundancy analysis revealed seven abiotic and biotic factors as significantly related to the NF occurrence. Multiple regression of fungi on these variables explained 78%, 66%, 48%, 36%, 23% and 4% of the variation inCatenariasp.,A. musiformis, A. dactyloides,P. lilacinus,A. oligosporaand G. gepharopagum, respectively. When the data from citrus were pooled with those reported previously from natural areas and subjected to principle component analysis, the first two principle components explained 43% of the variation in NF communities. The surveys (citrus vs natural areas) were discriminated by PC2 (P <0.001) and the ecoregion by PC1 (P <0.002), and all but one NF species were related (P < 0.01) to one or both components. NF communities tended to have more species and greater diversity in the flatwoods, where EPN richness and diversity were the least. However, the strength of associations between individual EPN and NF species as measured by SADIE reflected the associations between each species and ground water depth, suggesting that ecoregion preferences affected the species associations. Within each ecoregion, significant relationships between the individual NF and EPN species measured by stepwise regression tended to be positive. The results did not support the hypothesis that NF modulate the spatial patterns of EPN species between or within these two ecoregions.
PubMed | Panjab University, Sam Higginbottom Institute of Agriculture, Jamia Hamdard University and King Abdulaziz University
Type: Journal Article | Journal: Artificial cells, nanomedicine, and biotechnology | Year: 2016
Inflammatory diseases are considered to be highly dreadful ones responsible for higher mortality in the developed countries. This includes cancer, psoriasis, rheumatoid arthritis, and inflammatory bowel disease. The tremendous strides in the area of drug development to find newer molecules like non-steroidal and steroidal agents and immunosuppressant agents delivered by conventional formulation. These therapy have enhances the life expectancy of patient, but it provide the therapeutic benefits only to a limited extent. Recent advancement in liposomes based nanomedicines has led to the possibility of improves the efficacy and safety of the pharmacotherapy of inflammatory disorders. Of late, liposomes have been highly explored as one of the promising systems for delivering numerous anti-inflammatory drugs for attaining enhanced therapeutic outcomes. Over the conventional carriers, liposomal systems have numerous drug delivery merits including advantages in both passive and active targeting of drug molecules to the inflammatory lesions. The current review article, therefore, endeavors to provide a birds eye view account on the success of liposome-based therapeutic systems in the management of dreadful inflammatory disorders along with updated knowledge to pharmaceutical scientists in the field.
Singh K.,Sam Higginbottom Institute of Agriculture |
Thakur S.,Sam Higginbottom Institute of Agriculture
National Academy Science Letters | Year: 2012
Sarcophagid flies are an important group of Dipteran flies and are known to transmit pathogenic bacteria and viruses and cause animal tissue myiasis. These flies have also been reported as agents of human cutaneous, intestinal and genitourinal myiasis. However there is very little information available on the biochemical genetics of these flies. So the present investigation is an attempt to analyse the electrophoretic profiles using molecular markers in Sarcophaga dux byPAGEat five enzyme loci [(Malic enzyme (ME), Acid phosphatase (ACPH), Alkaline phosphatase (APH), Lactate dehydrogenase (LDH) and Xanthine dehydrogenase (XDH)]. All the enzymes were found to be encoded at a single locus. Of these, ME and XDH were monomorphic. While LDH, APH and ACPH revealed polymorphism for two electromorphs and three electrophoretic phenotypes. © The National Academy of Sciences, India 2012.
Borges V.,Sam Higginbottom Institute of Agriculture |
Jeberson W.,Sam Higginbottom Institute of Agriculture
Smart Innovation, Systems and Technologies | Year: 2016
Activity Recognition is a complex task of the Human Computer Interaction (HCI) domain. k-Nearest Neighbors (kNN) a non-parametric classifier, mimics human decision making, using experiences for segregating a new object. Fuzzy Logic mimics human intelligence to make decisions; but suffers from requiring domain expertise to propose novel rules. In this paper a novel technique is proposed that comes with efficient fuzzy rules from the training data. The kNN classifier is modified by incorporating fuzzification of the feature space by learning from the data and not relying solely on domain experts to draw fuzzy rules. Additional novelty is the efficient use of the Fuzzy Similarity Relations and Fuzzy Implicators for hybridization of the kNN Classifier. The proposed hybridized fuzzy kNN classifier is shown to perform 5.6 % better than the classical kNN counterpart. © Springer India 2016.
Verma A.,Sam Higginbottom Institute of Agriculture
Medicinal Chemistry Research | Year: 2012
Chitosan (CH)-based ciprofloxacin (CFX) prodrug conjugate have been successfully synthesized using isopropyl alcohol/water and glacial acetic acid mixture and the film was made by solution casting method. The FTIR spectrum result showed that CH-CFX complex exhibit an electrostatic interaction between NH 2 group of CH and COO - group of CFX. The physical parameters were analyzed by X-ray diffraction pattern and morphology by scanning electron microscopy. Thermal behavior of the films was analyzed by differential scanning calorimetry. The antimicrobial activity of the complexes against various Gram-positive bacteria (Staphylococcus aureus, Bacillus subtilis) and Gram-negative bacteria (Escherichia coli, Pseudomona. aeruginosa) was evaluated and found that the antibacterial activity of CH-CFX complex was greater than that of parent drug CFX. This may be due to the favorable pharmacokinetics, pharmacodynamics, excellent bacterial susceptibility and good stability of the drug conjugate. © 2012 Springer Science+Business Media, LLC.
PubMed | Sam Higginbottom Institute of Agriculture
Type: Journal Article | Journal: Recent patents on anti-infective drug discovery | Year: 2016
Rheumatoid arthritis (RA) is an immune mediated joint-based chronic inflammatory disorder recognized by joint inflammation, destruction, pain and remission. Currently, numerous pharmacotherapeutic strategies have gained immense popularity in RA therapy and improving the patient life.Besides, it exhibits numerous drawbacks such as requirement of high dose of drugs, unavoidable adverse effects and diseases remission. Thus, use of currently available pharmacotherapeutics employing conventional formulations can only provide therapeutic effects to a certain extent.Recent advancements in nanotechnology-based lipidic vesicular nanocarriers have led provided improved efficacy and safety for the anti-rheumatic drugs. These include liposomes, stealth liposomes, ethosomes, transfersomes, etc., which have shown their potential to improve the therapeutic efficacy of antirheumatic drugs with lesser toxicity. Although the results of animal models for use of lipid vesicular nanocarriers for drug targeting in RA have been found to be highly promising, but lack of sufficient data in a clinical setup are still evident to demonstrate their practical utility in patient populations. In this regard, considerable research studies are required for evaluating the efficacy and safety of the aforementioned nanocarriers in RA through clinical studies.The present review, therefore, covers the brief pathophysiology of RA, current medication and their challenges in RA therapy. Besides, an extensive account on recent advancements in novel lipid vesicular nanocarriers in RA therapy has also been addressed with special emphasis on the patent literature too.
PubMed | Sam Higginbottom Institute of Agriculture and Banaras Hindu University
Type: Journal Article | Journal: Bioinformation | Year: 2017
Physico-chemical properties reflect the functional and structural characteristics of a protein. The comparative study of the physicochemical properties is important to know role of a protein in exploring its molecular evolution. A number of online and offline tools are available for calculating the physico-chemical properties of a single protein sequence. However, a tool is not available for a comparative study with graphical visualization of Multi-FASTA sequences. Hence, we describe the development and utility of MFPPI V.1.0 (a web interface developed in JAVA platform) to input each FASTA sequence from Multi-FASTA file into the ProtParam web server for the calculation of physico-chemical properties. MFPPI V.1.0 calculates different physico-chemical properties for a given set of proteins in a single run and saves the data in the MSExcel sheet. Furthermore, it provides a graphical representation of protein physico-chemical properties for analysis and visualization of data in a user-friendly manner. Therefore, the output from the analysis helps to understand compositional changes and functional relationship in evolution among organisms. We have demonstrated the utility of MFPPI V.1.0 using 17 mtATP6 protein sequences from different mammalian species. It is available for free at http://insilicogenomics.in/mfpcalc/mfppi.html.