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University of Agricultural Sciences, Bengaluru

University of Agricultural Sciences Bangalore, a premier institution of agricultural education and research in the country, began as a small agricultural research farm in 1899 on 30 acres of land donated by Her Excellency Maharani Kempa Nanjammanni Vani Vilasa Sannidhiyavaru, the Regent of Mysore and appointed Dr. Lehmann, German Scientist to initiate research on soil crop response with a Laboratory in the Directorate of Agriculture. Later under the initiative of the Dewan of Mysore Sir M. Vishweshwaraiah, the Mysore Agriculture Residential School was established in 1913 at Hebbal which offered Licentiate in Agriculture and later offered a diploma programme in agriculture during 1920. The School was upgraded to Agriculture Collegein 1946 which offered four year degree programs in Agriculture. The Government of Mysore headed by Sri. S. Nijalingappa, the then Chief Minister, established the University of Agricultural Sciences on the pattern of Land Grant College system of USA and the University of Agricultural Sciences Act No. 22 was passed in Legislative Assembly in 1963. Dr. Zakir Hussain, the Vice President of India inaugurated the University on 21st August 1964.

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20232
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Subject: Bioinformatics × End date: 2025 × Start date: 2023 × Thesis Type: M.Sc ×
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    MOLECULAR DOCKING STUDIES ON INTERACTIONS OF ANTIMICROBIAL PEPTIDES WITH BACTERIAL TARGETS
    (2023-02-03) CHARITH, R.; Ramesh, B. N.
    dustry. Many antibiotics have become susceptible to the bacterial pathogens like E coli and Salmonella. Finding new antibiotic alternatives is essential because antibiotic resistance brought on by misuse, particularly the growth of multi-drug resistant bacteria which poses a severe threat to human health. An efficient therapeutic approach must be developed immediately to control infections. AMPs have become powerful alternative agents that have met the need for novel anti-infectives to overcome increasing antibiotic resistance problems. The present work conducted protein-peptide docking by using Autodock Vina with the list of 10 screened AMPs against the poultry bacterial targets (PBP 6 and LptA proteins) and by using Discovery Studio which revealed different binding interaction with target proteins. The original unmodified AMP (AP00551) and the modified AMP (FFHLHFHYWWW) showed favourable interactions with highest binding affinity of -8.7 Kcal/mol and-8.6 Kcal/mol with penicillin binding protein of E coli. For Salmonella the original unmodified AMP (AP00551) and the modified AMP (FFHLHFHYWWW) showed favourable interactions with highest binding affinity of -9.4 Kcal/mol and -9.0 Kcal/mol with LptA protein. Molecular docking studies indicated that these peptides could be used to block PBP 6 which is responsible for cell morphology development of E coli and the LptA enzyme which is responsible for membrane synthesis of Salmonella. Based on the binding energy score, the 10 AMPs could serve as a therapeutic option against the bacterial targets and enhance its treatment outcome.
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    In-silico MINING OF GENES AND PATHWAYS GOVERNING VEGETABILITY IN SOYBEAN (Glycine max M.)
    (2023-01-18) NAGARAJ; MOHAN CHAVAN
    Vegetable soybean is being important food and commercial crop. An attempt was made to find the genes controlling vegetability and quality traits of vegetable soybean. To explore the characteristics of roots, stems, leaves, pods and seeds at maturity stage (R6 stage), flowers at (R2 stage) and pods at seed maturity stage (R7 stage) were taken into consideration for transcriptome data. The RNA-seq datasets were used for identification of differential gene expression analysis. The expression values of the RNA-seq datasets were retrieved from Sequence Read Archive (SRA) database and the reference annotation file was downloaded from the Ensembl plant genome database. All samples were assessed for overall read quality using FASTQC. Mapping of raw sequence reads were done using alignment tool HISAT2. Differentially expressed genes and their quantification was done using R and Dseq software. FPKM values for every transcript associated genes with their expression measurement of each gene at R6 stage were done. The results showed that 42,394 genes were identified, out of which it was found 7,478 genes were upregulated and 8,625 genes were downregulated based on their log2 Fold Change value. The differential gene expression of datasets were graphically represented. The functional enrichment of three different parameters of differentially expressed genes were listed based on biological process, molecular function and cellular component. Pathway analysis indicated major upregulated genes enriched in six pathways. Biological and metabolic pathways of the differentially expressed genes at each reproductive stage was constructed using David functional annotation tool (DAVID).