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Seminar on
BIOINFORMATICS IN PANDEMIC
Guided by:
Dr. Jamuna K S
Lecturer, Department of Biotechnology
Sahyadri Science College
Shimoga.
SAHYADRI SCIENCE COLLEGE
Presented by:
Puneeth V G
I M.Sc Biotechnology
Sahyadri Science College
Shimoga.
Bioinformatics in pandemic
in silico molecular biology
“disease occurring worldwide, or over a very
wide area crossing international boundaries
and usually affecting a large number of
people”.
Bulletin of the World Health Organization, doi: 10.2471/BLT.11.088815
Vaccine Drug
Both of them takes longer path
Vaccine Drug
Bioinformatics cut shorts this longer path
Identification of drug / vaccine
target plays more important
role than identifying drug /
vaccine itself
Genome/Proteome Sequencing
plays a critical role
Bioinformatics in pandemic
Movie – villain = Hero
Host
genome
or
proteome
Pathogen
genome
or
proteome
Drug
or
vaccine
target
- =
Reductive Genomics
Host
genome/proteome
Pathogen
genome/proteome
Identifying overlapping genes/proteins
with similarity at sequence level,
pathway level and flux level
Annotation of unique and
unknown sequences, their
sub-cellular localization and
their availability for drug.
Host
genome/proteome
Pathogen
genome/proteome
Ultimately, few
proteins remain
that may be treated
as vaccine or drug
targets
Bioinformatics can aid in identification of
drug or vaccine targets at the earliest with
least resources and economy.
“
”
Barh, D., Tiwari, S., Jain, N., Ali, A., Santos, A. R., Misra, A. N., … Kumar, A. (2011). In
silico subtractive genomics for target identification in human bacterial pathogens. Drug
Development Research, 72(2), 162–177
Bulletin of the World Health Organization, doi: 10.2471/BLT.11.088815
Chawley, P., Samal, H. B., Prava, J., Suar, M., & Mahapatra, R. K. (2014). Comparative
genomics study for identification of drug and vaccine targets in Vibrio cholerae: MurA
ligase as a case study. Genomics, 103(1), 83–93.
Chowdhury, M. R. H., Bhuiyan, M. I., Saha, A., Mosleh, I. M., Mondol, S., & Ahmed, C. M.
S. (2014). Identification and analysis of potential targets in Streptococcus sanguinis
using computer aided protein data analysis. Advances and Applications in
Bioinformatics and Chemistry : AABC, 7, 45–54.
Damte, D., Suh, J.-W., Lee, S.-J., Yohannes, S. B., Hossain, M. A., & Park, S.-C. (2013).
Putative drug and vaccine target protein identification using comparative genomic
analysis of KEGG annotated metabolic pathways of Mycoplasma hyopneumoniae.
Genomics, 102(1), 47–56.
Vetrivel, U., Subramanian, G., & Dorairaj, S. (2011). A novel in silico approach to identify
potential therapeutic targets in human bacterial pathogens. The HUGO Journal, 5(1–4),
25–34.
Bioinformatics in pandemic

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Bioinformatics in pandemic

  • 1. Seminar on BIOINFORMATICS IN PANDEMIC Guided by: Dr. Jamuna K S Lecturer, Department of Biotechnology Sahyadri Science College Shimoga. SAHYADRI SCIENCE COLLEGE Presented by: Puneeth V G I M.Sc Biotechnology Sahyadri Science College Shimoga.
  • 4. “disease occurring worldwide, or over a very wide area crossing international boundaries and usually affecting a large number of people”. Bulletin of the World Health Organization, doi: 10.2471/BLT.11.088815
  • 5. Vaccine Drug Both of them takes longer path
  • 6. Vaccine Drug Bioinformatics cut shorts this longer path
  • 7. Identification of drug / vaccine target plays more important role than identifying drug / vaccine itself
  • 10. Movie – villain = Hero Host genome or proteome Pathogen genome or proteome Drug or vaccine target - = Reductive Genomics
  • 11. Host genome/proteome Pathogen genome/proteome Identifying overlapping genes/proteins with similarity at sequence level, pathway level and flux level Annotation of unique and unknown sequences, their sub-cellular localization and their availability for drug.
  • 13. Bioinformatics can aid in identification of drug or vaccine targets at the earliest with least resources and economy. “ ”
  • 14. Barh, D., Tiwari, S., Jain, N., Ali, A., Santos, A. R., Misra, A. N., … Kumar, A. (2011). In silico subtractive genomics for target identification in human bacterial pathogens. Drug Development Research, 72(2), 162–177 Bulletin of the World Health Organization, doi: 10.2471/BLT.11.088815 Chawley, P., Samal, H. B., Prava, J., Suar, M., & Mahapatra, R. K. (2014). Comparative genomics study for identification of drug and vaccine targets in Vibrio cholerae: MurA ligase as a case study. Genomics, 103(1), 83–93. Chowdhury, M. R. H., Bhuiyan, M. I., Saha, A., Mosleh, I. M., Mondol, S., & Ahmed, C. M. S. (2014). Identification and analysis of potential targets in Streptococcus sanguinis using computer aided protein data analysis. Advances and Applications in Bioinformatics and Chemistry : AABC, 7, 45–54. Damte, D., Suh, J.-W., Lee, S.-J., Yohannes, S. B., Hossain, M. A., & Park, S.-C. (2013). Putative drug and vaccine target protein identification using comparative genomic analysis of KEGG annotated metabolic pathways of Mycoplasma hyopneumoniae. Genomics, 102(1), 47–56. Vetrivel, U., Subramanian, G., & Dorairaj, S. (2011). A novel in silico approach to identify potential therapeutic targets in human bacterial pathogens. The HUGO Journal, 5(1–4), 25–34.