1,585 Matching Annotations
  1. Mar 2021
  2. May 2020
    1. this paper may related to the previous one of Daniel Seeliger. FBDD is not only useful for hit fidning, but also for MoA exploration. CADD is particular suitable for FBDD as the sampling of small molecule will more thourough

    2. site-identification by ligand competitive saturation (SILCS)




  3. Jul 2019
    1. TLC study of alkaloids
    2. TLC study of phenols
    3. TLC study of alkaloids
    4. Activation of TLC plate
    5. Preparation of TLC plate
    6. Study of Phytochemicals by Thin Layer Chromatography (Wagner, and Bladt, 1996)
    7. Test for cardiac glycosides
    8. Test for Terpenoids
    9. Tests for Flavonoids
    10. Tests for Phenolic compounds
    11. Tests for Saponins
    12. Tests for Tannins
    13. Tests for Alkaloids
    14. Test for Sterols
    15. Qualitative study of phytochemicals of N. sativadurin
    16. Inoculum preparation
    17. Clinical bacterial strains used for the study
    18. Preparation of distilled extracts
    19. Harvest of germinated seeds
    20. Germination of N.sativaseeds
    21. Collection of N.sativaseeds
    1. Testing of bioformulations
    2. Preparation of bioformulations and determination of
    3. Validation of bioformulations under laboratory conditions (in vitro
    4. Sequence analysis
    5. DNA sequencing of the 18S rDNA fragment
    6. Purification of PCR product
    7. Analysis of internal transcribed spacer region
    8. RAPDand SSRscoring and data analysis
    9. PCR amplification
    10. Running of gel and visualization of DNA
    11. Determination of the yield
    12. Agarose gel electrophoresis
    13. Qualitative and quantitative estimation of DNA
    14. Determination of the yield
    15. Procedure for DNA isolation
    16. Reagents required for fungal DNA isolationand p
    17. DNA isolation of Trichodermaisolate
    18. Genetic variability analysis through RAPD and SSR
    19. Photography, evaluation and documentation
    20. Procedurefor SDS-PAGE
    21. Materialsrequired for SDS-PAGE
    22. Protein profiling of bioagent through SDS-PAGE
    23. Biochemical analysis (Protein estimation)
    24. Protein estimation through Kjeldahl method
  4. sg.inflibnet.ac.in sg.inflibnet.ac.in
    1. Active site prediction and docking study
    2. Superposition of predicted structure and template (Dof
    3. Validations
    4. Three dimensional structure prediction, refinements and evaluation of Dof proteins
    5. Cis-regulatory element analysis
    6. Mapping of SbDof genes on sorghum chromosomes and its intron/exon gene structure prediction
    7. In silico prediction of Dof gene family members in S. bicolor (L
    8. Motif identification
    9. Multiple sequence alignment and phylogenetic analysis
    10. In silico analysis of sequenced Dof domain and Dof genes
    11. Reaction resuspension
    12. Post-reaction clean up
    13. Sequencing PCR
    14. Sequencing reaction
    15. Digestion of Plasmid DNA
    16. Minipreparation of plasmid DNA from transformed co
    17. Screening of recombinant E. coli clone
    18. Transformation of ligation mixture in electro-competent E. coli host cells (DH5ααααstrain)
    19. Transformation of ligated product in chemically competent E. coli host cells (DH5αααα strain)
    20. Ligation reactions
    21. Dephosphorylation of vector
    22. Restriction digestion
    23. Ligation of eluted PCR product in pBSK vector
    24. Cloning of gel eluted PCR produc
    25. Gel elution of PCR Produ
    26. Scoring of amplification data points and construction of a den
    27. Analysis of PCR amplicons using agarose gel electrophoresis
    28. Cycling condition
    29. PCR reaction set up
    30. Basic requirements for PC
    31. PCR amplification of Dof domain and Dof genes from different
    32. Primer designing for PCR amplification of Dof domain and D
    33. Qualitative analysis of DNA by agarose gel electrophoresi
    34. Spectrophotometric quantification of genomic DNA
    35. DNA purification
    36. DNA extraction procedure
    37. Isolation of genomic DNA by CTAB method
    38. Germination of seeds
    1. Solutions used for cytokine assay
    2. Assessment of Cytokine levels- IFN--12/IL-10 in lymphocytes of cured/endemic patients
    3. Nitrite production in macrophages of hamsters
    4. Assessment of Lymphocyte proliferative responses (LTT) in cured/exposed patients and hamsters
    5. Immunological assays
    6. Treatment of L. donovani infected hamsters and isolation of mononuclear cells (lymph node cells)
    7. Patients and isolation of peripheral blood mononuclear cells (PB
    8. Preparation of soluble L. donovani promastigote antigen
    9. Animals
    10. Parasites
    1. Polyclonal antibody generation
    2. Overexpression and Purification of recombinant protein (rLdTP
    3. Amplification, Cloning and Sequencing
    4. Cloning, Overexpression and purificationof TP
    5. Production of polyclonal antibodies against rLdADHT and We
    6. Purification of recombinant ADHT (rLdADHT)
    7. Recombinant protein Expression
    8. Clone confirmation
    9. Transformation procedure
    10. Transformation in E. coli Rosetta (DE3) cells
    11. Subcloning of ADHT in pET-28a expression vector
    12. Sequencing of ADHT gene
    13. Restriction Digestion of Plasmid DNA
    14. Colony PCR
    15. Preparation of master plate and isolation of plasmid DNA from transformed E. coli (Mini Prep)
    16. Confirmation of positive clone(s)
    17. Transformation
    18. Preparation of chemically competent Escherichia coli using calcium chloride method
    1. Quantification of MMP or ΔΨmloss
    2. Assessmentof mitochondrial membrane potential(MMP or ΔΨm)
    3. Glutathione peroxidase (GPx) assay
    4. Superoxide dismutase (SOD) assay
    5. Catalase assay
    6. Assay for reduced glutathione(GSH)
    7. Assay for Lipid peroxidase(LPO)
    8. Estimation of Total protein
    9. Oxidative stress parameters
    10. Quantification of ROS
    11. Detection of intracellular ROS
    12. Acridine orange/ethidium bromide (AO –EB) staining
    13. Cytomorphological analysis
    14. MTT [(4, 5–dimethylthiazol–2–yl)–2, 5-diphenyl tetrazolium Bromide] assay
    15. Cell culture
    16. Catalytic activity
    17. Growth kinetic studies
    18. Kirby-Bauer Disk diffusion method
    19. Antimicrobial activity
    20. Hydrogen peroxide quenching activity
    21. Nitric oxide radical quenching activity
    22. Superoxide radical scavenging activity
    23. Reducing power assay
    24. DPPH free radical quenching activity
    25. In vitro free radical scavenging assays
    26. TGDSC analysis
    27. DLS particle size and zeta potential analysis
    28. FTIR analysis
    29. TEM-EDAX analysis
    30. UV–visible spectral analysis
    31. Characterization of AgNPs
    32. Synthesis of AgNPs
    33. GC-MS analysis
    34. Qualitative analysis of compounds
    35. Collection and preparation of extracts
    1. Poisson Model
    2. We have analysed the Cancer data of patients in 155 wards of Chennai Cor-poration by the above described method. As preliminary analyses, we havecreated the Choropleth maps for Observed counts, Population of wards, ex-pected counts for patients and SMR's.The Choropleth map for the observed counts Figure 5.2 does not show anypattern. But the Choropleth map for the expected counts Figure: 5.4 indi-cate that the inner regions of the Chennai Corporations have lower expectedcounts and the regions along the border have larger counts of patients. As ameasure of spatial heterogeneity we have computed PSH= 0:7108:Hence ofthe total spatial random variation, nearly 71% is due to spatial heterogene-ity and the remaining 28:92% is due to Poisson variation. Thus the spatialvariation is present in the data.The Choropleth map for Empirical Bayes smoothed rates Figure 5.5 re-veals that only 13 sub regions have high risk values. The wards with numbers53, 64, 67, 70, 78, 93, 100, 103, 110, 117, 122, 147 and 151 have high riskvalues. Though this information could be used by the health managers toconcentrate their work on these regions, one can look for additional covariatesin these regions for further study
    3. Empirical Bayesian Smoothing
    4. Incidence Rate and SMR