SlideShare a Scribd company logo
1 of 32
EPITOPE MAPPING THROUGH
BIOINFORMATICAL ANALYSIS
Jajati Keshari Nayak
PhD1st yr
MBGE,GBUA&T
ID-55493
Antigen-antibody interaction
• Antigen is recognized by the immune system and stimulates an
antibody response
• Can be a bacteria, virus, a protein…
• Originally the term antigen came from antibody generator
Antigen
 An
• Antigen is recognized as foreign by the immune system and
is engulfed by antigen presenting cells, such as macrophages,
monocytes and dendritic cells
Antigen presenting cell
Antigen
Antigen-antibody interaction
Antigen-antibody interaction
• The antigen is degrated into smaller fragments and displayed
on the cell surface together with specialized glycoproteins
Antigen presenting cell
Antigen
Antigen-antibody interaction
• T-cells recognize the antigen-glycoprotein complex
Antigen presenting cell
T-cell
Antigen
Antigen-antibody interaction
• T-cells stimulate B-cells to produce
 antibodies towards the specific antigen
Antigen presenting cell
T-cell
B-cell
Antibodies
Antigen
Antigen
Antigen presenting cell
Epitope
T-cell
B-cell
Antibodies
• The antibodies interact with the antigen
• The region of an antigen that interact with the antibody is defined as an
epitope
Antigen
Antigen-antibody interaction
Antigen presenting cell
T-cell
B-cell
Antigen
Antibodies
• Finally the antigen is neutralized
Antigen
Antigen-antibody interaction
Antigen presenting cell
T-cellSelf protein
(auto-antigen)
B-cell
Auto-antibodies
• Abnormal functioning of the immune system, it fails to recognize
protein/tissue ~ antibody response is produced against these
• A disease that results from such an immune response is termed an
autoimmune disease
Auto-immune disease
Epitope mapping
• Epitope mapping is the process of identifying the binding
sites of antibodies on their target antigens
• Several strategies for epitope mapping exist:
 recombinant proteins
 X-ray co-crystallography
 phage-display
 peptide scanning
 truncated resin-bound peptides
 Through Bioinformatical analysis
Need
 Used for vaccine development against influenza,small
pox,pertusis
 mAB and Polyclonal antobodies production.
 To know the antigen-antibody interaction.
Why epitope mapping ??
 Conventional vaccine production is time consuming.
 Atteneuated or killed pathogen may cause disease in
host genome.
 To know the different consensus and conserved
sequence which forms epitopes.
Epitope based vaccine
 Immunoprotective and immuno dominat epitopes are
used.
 rDNA technology is used for multitarget vaccine
production.
 Linear epitope or conformational epitope is used.
 Also used as adjuvents. e.g T cell epitopes.
Prediction of potential T- cell
binding-epitopes
 Interaction occures between R groups of epitope and
Grooves/pocket of MHC molecules.
 RANKEP –online server predicts peptides binders to
MHC-I and MHC-II alleles.
 PSSM(position specific scoring matrices) algorithim is
used in RANKEP.
Lets take an example
>A56881 PIR2 release 71.00
MWNLLHETDSAVATARRPRWLCAGALVLAGGFFLLGFLFGWFIKSSNEATNITPKH
NMKAFLDELKAENIKKFLYNFTQIPHLAGTEQNFQLAKQIQSQWKEFGLDSVELA
HYDVLLSYPNKTHPNYISIINEDGNEIFNTSLFEPPPPGYENVSDIVPPFSAFSPQGMP
EGDLVYVNYARTEDFFKLERDMKINCSGKIVIARYGKVFRGNKVKNAQLAGAKGVIL
YSDPADYFAPGVKSYPDGWNLPGGGVQRGNILNLNGAGDPLTPGYPANEYAYRRGI
AEAVGLPSIPVHPIGYYDAQKLLEKMGGSAPPDSSWRGSLKVPYNVGPGFTGNFSTQ
KVKMHIHSTNEVTRIYNVIGTLRGAVEPDRYVILGGHRDSWVFGGIDPQSGAAVVH
EIVRSFGTLKKEGWRPRRTILFASWDAEEFGLLGSTEWAEENSRLLQERGVAYINADS
SIEGNYTLRVDCTPLMYSLVHNLTKELKSPDEGFEGKSLYESWTKKSPSPEFSGMPRI
SKLGSGNDFEVFFQRLGIASGRARYTKNWETNKFSGYPLYHSVYETYELVEKFYDPM
FKYHLTVAQVRGGMVFELANSIVLPFDCRDYAVVLRKYADKIYSISMKHPQEMKTYS
VSFDSLFSAVKNFTEIASKFSERLQDFDKSNPIVLRMMNDQLMFLERAFIDPLGLPD
RPFYRHVIYAPSSHNKYAGESFPGIYDALFDIESKVDPSKAWGEVKRQIYVAAFTVQA
AAETLSEVA
Protein blast was done to know the function of this protein
That sequence is prostate specific antigen
Let’s Predict putative peptide sequences which may form a epitope through
RANKPEP server.
Same protein sequence of prostate antigen put in IEDB analysis resources data
base.
TAP associated epitope prediction
What is TAP ???
Transporter associated with antigen processing
Interface of CTLpred server.
PREDICTION OF B-CELL BINDING
EPITOPES
 B cell epitopes are recognized by B cell receptors or
antibodies in their native structure.
 Score is calculated on the bais of AA properties such as
hydrophilicity,charge,exposed surface area and secondary
structures.
 Different online server are present for continuous and
discontinous B-cell epitopes.
 It has been tested on B cell epitope database (BCIPEP),
and will therefore presumbly have better performance for
prediction of B cell epitope of the antigen. Bcepred can
predict continuous B cell epitopes.
PEPTIDE BASED VACCINE
AGINST HIV
Different HIV virus epitope prediction
CONCLUSION
 Epitope mapping gives high throughput analysis of
dfferent candidate sequences for prediction of
potential epitopes.
 Less time consuming and less expensive.

More Related Content

What's hot

Epitope prediction and its algorithms
Epitope prediction and its algorithmsEpitope prediction and its algorithms
Epitope prediction and its algorithmsPrasanthperceptron
 
Secondary Structure Prediction of proteins
Secondary Structure Prediction of proteins Secondary Structure Prediction of proteins
Secondary Structure Prediction of proteins Vijay Hemmadi
 
Recombinant vaccines
Recombinant vaccinesRecombinant vaccines
Recombinant vaccinesSristiRajput1
 
Immunoprecipitation Presentation
Immunoprecipitation PresentationImmunoprecipitation Presentation
Immunoprecipitation PresentationVibhutiSardana1
 
Dna vaccine final ppt
Dna vaccine final pptDna vaccine final ppt
Dna vaccine final pptTaye Desta
 
Flow cytometry and fluorescence activated cell sorting (FACS)
Flow cytometry and fluorescence activated cell sorting (FACS)Flow cytometry and fluorescence activated cell sorting (FACS)
Flow cytometry and fluorescence activated cell sorting (FACS)Abu Sufiyan Chhipa
 
Proteome analysis
Proteome analysisProteome analysis
Proteome analysisAkash Verma
 
Protein array, types and application
Protein array, types and applicationProtein array, types and application
Protein array, types and applicationKAUSHAL SAHU
 
Applications of genomics and proteomics ppt
Applications of genomics and  proteomics pptApplications of genomics and  proteomics ppt
Applications of genomics and proteomics pptIbad khan
 
Comparative genomics
Comparative genomicsComparative genomics
Comparative genomicshemantbreeder
 
clonal selection theory.PPTX
clonal selection theory.PPTXclonal selection theory.PPTX
clonal selection theory.PPTXakshyhari
 
Nucleic acids as therapeutic agents
Nucleic acids as therapeutic agentsNucleic acids as therapeutic agents
Nucleic acids as therapeutic agentsRESHMASOMAN3
 

What's hot (20)

Epitope prediction and its algorithms
Epitope prediction and its algorithmsEpitope prediction and its algorithms
Epitope prediction and its algorithms
 
IMMUNOPRECIPITATION
IMMUNOPRECIPITATIONIMMUNOPRECIPITATION
IMMUNOPRECIPITATION
 
Secondary Structure Prediction of proteins
Secondary Structure Prediction of proteins Secondary Structure Prediction of proteins
Secondary Structure Prediction of proteins
 
Recombinant vaccines
Recombinant vaccinesRecombinant vaccines
Recombinant vaccines
 
Immunoprecipitation Presentation
Immunoprecipitation PresentationImmunoprecipitation Presentation
Immunoprecipitation Presentation
 
Dna vaccine final ppt
Dna vaccine final pptDna vaccine final ppt
Dna vaccine final ppt
 
Flow cytometry and fluorescence activated cell sorting (FACS)
Flow cytometry and fluorescence activated cell sorting (FACS)Flow cytometry and fluorescence activated cell sorting (FACS)
Flow cytometry and fluorescence activated cell sorting (FACS)
 
Shuttle vector
Shuttle vectorShuttle vector
Shuttle vector
 
Proteome analysis
Proteome analysisProteome analysis
Proteome analysis
 
Swiss prot database
Swiss prot databaseSwiss prot database
Swiss prot database
 
Expression system final
Expression system finalExpression system final
Expression system final
 
Shotgun and clone contig method
Shotgun and clone contig methodShotgun and clone contig method
Shotgun and clone contig method
 
Protein array, types and application
Protein array, types and applicationProtein array, types and application
Protein array, types and application
 
YEAST TWO HYBRID SYSTEM
 YEAST TWO HYBRID SYSTEM YEAST TWO HYBRID SYSTEM
YEAST TWO HYBRID SYSTEM
 
Applications of genomics and proteomics ppt
Applications of genomics and  proteomics pptApplications of genomics and  proteomics ppt
Applications of genomics and proteomics ppt
 
Comparative genomics
Comparative genomicsComparative genomics
Comparative genomics
 
clonal selection theory.PPTX
clonal selection theory.PPTXclonal selection theory.PPTX
clonal selection theory.PPTX
 
Nucleic acids as therapeutic agents
Nucleic acids as therapeutic agentsNucleic acids as therapeutic agents
Nucleic acids as therapeutic agents
 
2d Page
2d Page2d Page
2d Page
 
Recombinant Vaccines
Recombinant VaccinesRecombinant Vaccines
Recombinant Vaccines
 

Similar to Epitope mapping through bioinformatical analysis

Similar to Epitope mapping through bioinformatical analysis (20)

Reverse vaccinology by aashi
Reverse vaccinology  by aashiReverse vaccinology  by aashi
Reverse vaccinology by aashi
 
G.2014-immuno~ (2.antigen-lyj)
 G.2014-immuno~ (2.antigen-lyj) G.2014-immuno~ (2.antigen-lyj)
G.2014-immuno~ (2.antigen-lyj)
 
Immuno Coverage
Immuno CoverageImmuno Coverage
Immuno Coverage
 
Innate immunity
Innate immunityInnate immunity
Innate immunity
 
ANTIGEN ( IMMUNOLOGY-1)
ANTIGEN ( IMMUNOLOGY-1)ANTIGEN ( IMMUNOLOGY-1)
ANTIGEN ( IMMUNOLOGY-1)
 
Monoclonal antibodies
Monoclonal antibodiesMonoclonal antibodies
Monoclonal antibodies
 
Ch3 antigens
Ch3 antigensCh3 antigens
Ch3 antigens
 
Principles of immunodetection
Principles of immunodetectionPrinciples of immunodetection
Principles of immunodetection
 
Monoclonal Antibodies & Antibody Engineering
Monoclonal Antibodies & Antibody EngineeringMonoclonal Antibodies & Antibody Engineering
Monoclonal Antibodies & Antibody Engineering
 
Immunosurveillance
ImmunosurveillanceImmunosurveillance
Immunosurveillance
 
Antibody generation
Antibody generationAntibody generation
Antibody generation
 
TLR ligand functionalized nanocarriers to enhance immunogenicity of vaccines
TLR ligand functionalized nanocarriers to enhance immunogenicity of vaccinesTLR ligand functionalized nanocarriers to enhance immunogenicity of vaccines
TLR ligand functionalized nanocarriers to enhance immunogenicity of vaccines
 
Antibody
AntibodyAntibody
Antibody
 
Innate immunity
Innate immunityInnate immunity
Innate immunity
 
Cell Bio 3
Cell Bio 3Cell Bio 3
Cell Bio 3
 
Lecture5(6)
Lecture5(6)Lecture5(6)
Lecture5(6)
 
Monoclonal Antibodies
Monoclonal AntibodiesMonoclonal Antibodies
Monoclonal Antibodies
 
Humoral immune response
Humoral immune responseHumoral immune response
Humoral immune response
 
Biotechnology Chapter Five Lecture- Proteins (part b)
Biotechnology Chapter Five Lecture- Proteins (part b)Biotechnology Chapter Five Lecture- Proteins (part b)
Biotechnology Chapter Five Lecture- Proteins (part b)
 
Immunohistochemistry METHODS
Immunohistochemistry  METHODSImmunohistochemistry  METHODS
Immunohistochemistry METHODS
 

Recently uploaded

Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxChelloAnnAsuncion2
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationAadityaSharma884161
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 

Recently uploaded (20)

Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up Friday
 
Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint Presentation
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 

Epitope mapping through bioinformatical analysis

  • 1. EPITOPE MAPPING THROUGH BIOINFORMATICAL ANALYSIS Jajati Keshari Nayak PhD1st yr MBGE,GBUA&T ID-55493
  • 2. Antigen-antibody interaction • Antigen is recognized by the immune system and stimulates an antibody response • Can be a bacteria, virus, a protein… • Originally the term antigen came from antibody generator Antigen
  • 3.  An • Antigen is recognized as foreign by the immune system and is engulfed by antigen presenting cells, such as macrophages, monocytes and dendritic cells Antigen presenting cell Antigen Antigen-antibody interaction
  • 4. Antigen-antibody interaction • The antigen is degrated into smaller fragments and displayed on the cell surface together with specialized glycoproteins Antigen presenting cell Antigen
  • 5. Antigen-antibody interaction • T-cells recognize the antigen-glycoprotein complex Antigen presenting cell T-cell Antigen
  • 6. Antigen-antibody interaction • T-cells stimulate B-cells to produce  antibodies towards the specific antigen Antigen presenting cell T-cell B-cell Antibodies Antigen
  • 7. Antigen Antigen presenting cell Epitope T-cell B-cell Antibodies • The antibodies interact with the antigen • The region of an antigen that interact with the antibody is defined as an epitope Antigen Antigen-antibody interaction
  • 8. Antigen presenting cell T-cell B-cell Antigen Antibodies • Finally the antigen is neutralized Antigen Antigen-antibody interaction
  • 9. Antigen presenting cell T-cellSelf protein (auto-antigen) B-cell Auto-antibodies • Abnormal functioning of the immune system, it fails to recognize protein/tissue ~ antibody response is produced against these • A disease that results from such an immune response is termed an autoimmune disease Auto-immune disease
  • 10. Epitope mapping • Epitope mapping is the process of identifying the binding sites of antibodies on their target antigens • Several strategies for epitope mapping exist:  recombinant proteins  X-ray co-crystallography  phage-display  peptide scanning  truncated resin-bound peptides  Through Bioinformatical analysis
  • 11. Need  Used for vaccine development against influenza,small pox,pertusis  mAB and Polyclonal antobodies production.  To know the antigen-antibody interaction.
  • 12. Why epitope mapping ??  Conventional vaccine production is time consuming.  Atteneuated or killed pathogen may cause disease in host genome.  To know the different consensus and conserved sequence which forms epitopes.
  • 13. Epitope based vaccine  Immunoprotective and immuno dominat epitopes are used.  rDNA technology is used for multitarget vaccine production.  Linear epitope or conformational epitope is used.  Also used as adjuvents. e.g T cell epitopes.
  • 14.
  • 15. Prediction of potential T- cell binding-epitopes  Interaction occures between R groups of epitope and Grooves/pocket of MHC molecules.  RANKEP –online server predicts peptides binders to MHC-I and MHC-II alleles.  PSSM(position specific scoring matrices) algorithim is used in RANKEP.
  • 16. Lets take an example >A56881 PIR2 release 71.00 MWNLLHETDSAVATARRPRWLCAGALVLAGGFFLLGFLFGWFIKSSNEATNITPKH NMKAFLDELKAENIKKFLYNFTQIPHLAGTEQNFQLAKQIQSQWKEFGLDSVELA HYDVLLSYPNKTHPNYISIINEDGNEIFNTSLFEPPPPGYENVSDIVPPFSAFSPQGMP EGDLVYVNYARTEDFFKLERDMKINCSGKIVIARYGKVFRGNKVKNAQLAGAKGVIL YSDPADYFAPGVKSYPDGWNLPGGGVQRGNILNLNGAGDPLTPGYPANEYAYRRGI AEAVGLPSIPVHPIGYYDAQKLLEKMGGSAPPDSSWRGSLKVPYNVGPGFTGNFSTQ KVKMHIHSTNEVTRIYNVIGTLRGAVEPDRYVILGGHRDSWVFGGIDPQSGAAVVH EIVRSFGTLKKEGWRPRRTILFASWDAEEFGLLGSTEWAEENSRLLQERGVAYINADS SIEGNYTLRVDCTPLMYSLVHNLTKELKSPDEGFEGKSLYESWTKKSPSPEFSGMPRI SKLGSGNDFEVFFQRLGIASGRARYTKNWETNKFSGYPLYHSVYETYELVEKFYDPM FKYHLTVAQVRGGMVFELANSIVLPFDCRDYAVVLRKYADKIYSISMKHPQEMKTYS VSFDSLFSAVKNFTEIASKFSERLQDFDKSNPIVLRMMNDQLMFLERAFIDPLGLPD RPFYRHVIYAPSSHNKYAGESFPGIYDALFDIESKVDPSKAWGEVKRQIYVAAFTVQA AAETLSEVA Protein blast was done to know the function of this protein
  • 17. That sequence is prostate specific antigen
  • 18. Let’s Predict putative peptide sequences which may form a epitope through RANKPEP server.
  • 19.
  • 20.
  • 21. Same protein sequence of prostate antigen put in IEDB analysis resources data base.
  • 22.
  • 23.
  • 24. TAP associated epitope prediction What is TAP ??? Transporter associated with antigen processing
  • 25.
  • 26.
  • 28. PREDICTION OF B-CELL BINDING EPITOPES  B cell epitopes are recognized by B cell receptors or antibodies in their native structure.  Score is calculated on the bais of AA properties such as hydrophilicity,charge,exposed surface area and secondary structures.  Different online server are present for continuous and discontinous B-cell epitopes.  It has been tested on B cell epitope database (BCIPEP), and will therefore presumbly have better performance for prediction of B cell epitope of the antigen. Bcepred can predict continuous B cell epitopes.
  • 29.
  • 31. Different HIV virus epitope prediction
  • 32. CONCLUSION  Epitope mapping gives high throughput analysis of dfferent candidate sequences for prediction of potential epitopes.  Less time consuming and less expensive.

Editor's Notes

  1. Imagine that we have an antigen. An Antigen, is a molecule, usually foreign, which is recognized by the immune system and stimulates a antibody response. Originally the term came from antibody generator. An antigen can be a bacteria, virus, a protein, a lipid, carbohydrate…..
  2. This antigen is recognized as foreign by the immune system and the antigen is engulfed by antigen presenting cells
  3. The antigen is degrated into smaller fragments and displayed on the cell surface together with specialized glycoproteints.
  4. T-Cells will recognize the antigen-glycoprotein complex
  5. T-Cells stimulate B-cells to produce antibodies towards the specific antigen. These antibodies are of significant importance, so I’m going to take a moment to introduce you to these antibodies.
  6. Next the antibodies produced will interact with the antigen. The region of an antigen that interacts with an antibody is defined as an epitope. And it is this specific interaction between the antibody and the epitope of the antigen that I’m interested in.
  7. Finally, when the antibodies have bound to the antigen, the antigen is neutralized. This is more or less what happens, when an antigen induces an antigen response. The antigen is recognized as foreign by the immune system, a cascade of cellular reactions takes place, and eventually specific antibodies are generated towards the antigen, and finally the antigen is neutralized.
  8. Occasionally, abnormal functioning of the immune system occur, the immune system fails to recognize own cells/proteins, and an antibody response is produced against these. A Disease that results from such an immune response is termed an auto-immune disease. The Antibodies produced in this process are termed auto-antibodies, whereas the protein/tissue that triggers this immune response is termed auto-antigen. type 1 diabetes is one of the most known autoimmune diseases, where the insulin producing cells are destroyed, another example is celiac disease, which I’m going to introduce you to.