Immunological databases on the web Ole Lund Center for Biological Sequence Analysis BioCentrum-DTU Technical University of Denmark

Slides:



Advertisements
Similar presentations
Antigen Presentation K.J. Goodrum Department of Biomedical Sciences Ohio University 2005.
Advertisements

Bioinformatical design of a vaccine against influenza virus N1 subtype Bonaccorsi, Irene; Clausen, Martin Bau; Høj, Leif Howalt; Kjær, Jesper and Sayyad,
Immune control of human papillomavirus (HPV) associated anogenital disease and potential for vaccination Peter L. Stern Journal of Clinical Virology, 2005.
A Few More Things About B Cell Development
Topic Defence against infectious disease
Prediction of B cell epitopes Pernille Haste Andersen Immunological Bioinformatics CBS, DTU
CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS Department of Systems Biology Technical University of Denmark Immunological Bioinformatics Introduction to the.
Vaccine Design. Need for new vaccine technologies The classical way of making vaccines have in many cases been tried for the pathogens for which no vaccines.
Computer Aided Vaccine Design Dr G P S Raghava. Concept of Drug and Vaccine Concept of Drug Concept of Drug –Kill invaders of foreign pathogens –Inhibit.
MHC Polymorphism Ole Lund. Objectives What is HLA polymorphism? What is it good for? How does it make life difficult for vaccine design? Definition of.
Immunological feature predictions and databases on the web Ole Lund Center for Biological Sequence Analysis BioCentrum-DTU Technical University of Denmark.
Antibody structure Heavy chain constant region determines antibody class.
“Theoretical and Experimental description of Peptide-MHC binding”
CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS Department of Systems Biology Technical University of Denmark Immunological Bioinformatics Processing, combined.
MHC Polymorphism. MHC Class I pathway Figure by Eric A.J. Reits.
CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS Technical University of Denmark - DTU Department of systems biology Biopeople Tutorial 2011 Immunological Bioinformatics.
Selection of T Cell Epitopes Using an Integrative Approach Mette Voldby Larsen cand. scient. in biology ph.d. student.
Classical Vaccines. Vaccines can eradicate pathogens and save lives.
Prediction of B cell epitopes Ole Lund. Outline What is a B-cell epitope? How can you predict B-cell epitopes?
Immunological Bioinformatics Ole Lund. Challenges of the immune system Time Creation of self Creation of an immune system/ Tolerance to self Infection.
Protein Therapeutics Immunogenicity Stephen Lynn CHEM645 0.
Epitope Selection Rational Vaccine design. Why? Therapeutic vaccines Therapeutic vaccines Treatment of viral infections (e.g., HIV, HCV), and resistant.
Prediction of CTL responses Mette Voldby Larsen cand. scient. in biology ph.d. student.
Immunological Bioinformatics Ole Lund Center for Biological Sequence Analysis BioCentrum-DTU Technical University of Denmark
T Cell Receptor (TCR) & MHC Complexes-Antigen Presentation
Chapter 8 Major Histocompatibility Complex Dr. Capers
Antigen recognition by T cells Zheng W. Chen, M.D., Ph.D.
Institute of Immunology, ZJU
The Body’s Defenses Chapter 43. Nonspecific Defenses Animals need way to protect against disease. 3 lines of defense; 2 nonspecific (don’t distinguish)
Methods MHC class-I T cell epitope prediction for Nef Consensus and ancestral sequences of the Nef protein for the different HIV-1 subtypes were obtained.
 Study of the immune system  How the body protects itself against foreign, potentially disease-causing microorganisms  Three main functions:  To recognize.
Machine-learning in building bioinformatics databases for infectious diseases Victor Tong Institute for Infocomm Research A*STAR, Singapore ASEAN-China.
Selection of T Cell Epitopes Using an Integrative Approach Mette Voldby Larsen cand. scient. in Biology PhD in Immunological Bioinformatics.
HIV-1 evolution in response to immune selection pressures
Institute of Microbial Technology, Chandigarh, India
1 Computer-aided Subunit Vaccine Design G.P.S. Raghava, Institute of Microbial Technology, Chandigarh  Understanding immune system  Breaking complex.
CHAPTER 23 Molecular Immunology.
Chapter 23 Immunogenetics. The immune response in mammals involves three steps: 1.Recognition of the foreign substance 2.Communication of this recognition.
1 Web Site: Dr. G P S Raghava, Head Bioinformatics Centre Institute of Microbial Technology, Chandigarh, India Prediction.
CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS BiC BioCentrum-DTU Technical University of Denmark Cleavage sites and binding affinities.
Fe A. Bartolome, MD, FPASMAP Department of Microbiology Our Lady of Fatima University.
MAJOR HISTOCOMPATIBILITY COMPLEX. MAJOR HISTOCOMPATIBILITY COMPLEX (MHC): Is a segment of the short arm (p) of chromosome 6 containing several genes These.
Vaccines: A Molecular View
T Cell Receptor (TCR) & MHC Complexes-Antigen Presentation Pin Ling ( 凌 斌 ), Ph.D. ext 5632; References: 1. Abbas, A, K. et.al,
AP Biology Immune Systems Part 2. Important concepts from previous units: 1) Three parts to the Signal Transduction Pathway – Reception, transduction,
Lecture 1: Immunogenetics Dr ; Kwanama
T cells Abul K. Abbas: Basic Immunology page (fig3.7, 3.9, 3.11, 3.16 are not required) and (fig 5.11, 5.18 are not required)
Specific Defenses of the Host Part 2 (acquired or adaptive immunity)
Bioinformatics in Vaccine Design
Prediction of T cell epitopes using artificial neural networks Morten Nielsen, CBS, BioCentrum, DTU.
Note to presenter: The National Immunization Program can provide a videotape with animated sequences illustrating the biology of active and passive immunity.
Lecture 13 Immunology and disease: parasite antigenic diversity.
CATEGORY: VACCINES & THERAPEUTICS HIV-1 Vaccines Shokouh Makvandi-Nejad, University of Oxford, UK HIV-1 Vaccines © The copyright for this work resides.
Immune Epitope Database assays. Standard immune epitope definition Classical (textbook) definition: An epitope, also known as antigenic determinant, is.
Specific Acquired Immune Response A specific response that is directed only at the invading agent. Two keys words to remember: Specific Memory bio-alive.com.
MHC March 24, :00-12:00.
The Mystery PLTW Lesson 1.1
T cell receptor & MHC complexes-Antigen presentation
T Cell Receptor (TCR) & MHC Complexes-Antigen Presentation
Adaptive immunity antigen recognition Y Y Y Y Y Y Y Y Y invading
Globular Protein Made of amino acid chains
The Major Histocompatibility Complex (MHC)
Chapter 8 Major Histocompatibility Complex Dr. Capers
Genetics of Immunity: Part 2
Ligand Docking to MHC Class I Molecules
Experimental methods in classic epitope discovery
The major histocompatibility complex (MHC) and MHC molecules
Telling self from non-self: Learning the language of the Immune System
Immunology.
Presentation transcript:

Immunological databases on the web Ole Lund Center for Biological Sequence Analysis BioCentrum-DTU Technical University of Denmark

Vaccines have been made for 36 of >400 human pathogens Immunological Bioinformatics, The MIT press. +HPV & Rotavirus

Deaths from infectious diseases in the world in

Pathogenic Viruses Data derived from / 1st column: log10 of the number of deaths caused by the pathogen per year 2nd column: DNA Advisory Committee (RAC) classification DNA Advisory Committee guidelines [RAC, 2002] which includes those biological agents known to infect humans, as well as selected animal agents that may pose theoretical risks if inoculated into humans. RAC divides pathogens into four classes. Risk group 1 (RG1). Agents that are not associated with disease in healthy adult humans Risk group 2 (RG2). Agents that are associated with human disease which is rarely serious and for which preventive or therapeutic interventions are often available Risk group 3 (RG3). Agents that are associated with serious or lethal human disease for which preventive or therapeutic interventions may be available (high individual risk but low community risk) Risk group 4 (RG4). Agents that are likely to cause serious or lethal human disease for which preventive or therapeutic interventions are not usually available (high individual risk and high community risk) 3rd column: CDC/NIAID bioterror classification classification of the pathogens according to the Centers for Disease Control and Prevention (CDC) bioterror categories A–C, where category A pathogens are considered the worst bioterror threats 4th column: Vaccines available A letter indicating the type of vaccine if one is available (A: acellular/adsorbet; C: conjugate; I: inactivated; L: live; P: polysaccharide; R: recombinant; S staphage lysate; T: toxoid). Lower case indicates that the vaccine is released as an investigational new drug (IND)). 5th column: G: Complete genome is sequenced

Need for new vaccine technologies The classical way of making vaccines have in many cases been tried for the pathogens for which no vaccines exist Need for new ways for making vaccines

Databases Used for Vaccine Design Sequence databases General Sequences of proteins of the immune system Epitope databases Pathogen centered databases HIV mTB Malaria

Sequence Databases Used to study sequence variability of microbes Sequence conservation Positive/negative selection Examples Swissprot GenBank

MHC Class I pathway Figure by Eric A.J. Reits

The binding of an immunodominant 9-mer Vaccinia CTL epitope, HRP2 (KVDDTFYYV) to HLA-A*0201. Position 2 and 9 of the epitopes are buried deeply in the HLA class I molecule. Figure by Anne Mølgaard, peptide (KVDDTFYYV) used as vaccine by Snyder et al. J Virol 78, (2004).

Expression of HLA is codominant

Polymorphism and polygeny

The MHC gene region

Human Leukocyte antigen (HLA=MHC in humans) polymorphism - alleles

Logos of HLA-A alleles O Lund et al., Immunogenetics :

Clustering of HLA alleles O Lund et al., Immunogenetics :

Databases of Sequences of Proteins of Immune system Used to study variability of the human genome Anthony Nolan Database (IMGT/HLA sequences) IMmunoGeneTics HLA (IMGT/HLA) database Sequences of HLA, antibody and other molecules dbMHC Clinical data and sequences related to the immune system

Development 2m2m2m2m Heavy chain peptide Incubation Peptide-MHC complex Determination of peptide-HLA binding Step I: Folding of MHC class I molecules in solution Step II: Detection of de novo folded MHC class I molecules by ELISA C Sylvester-Hvid et al., Tissue Antigens :251-8

HLA Binding Results 1215 peptides received 1114 tested for binding 827 (74%) bind with K D better than 500nM 484 (43%) bind with K D better han 50 nM KD\PathogenInfluenzaMarburgPoxF. tularensisDengueHantaanLassaWest NileYellow Fever K D < <K D < K D > in progress Total Søren Buus Lab

ELISPOT assay Measure number of white blood cells that in vitro produce interferon-  in response to a peptide A positive result means that the immune system has earlier reacted to the peptide (during a response to a vaccine/natural infection) SLFNTVATL Two spots

Influenza Peptides positive in ELISPOT Mingjun Wang et al., submitted

Peters B, et al. Immunogenetics :326-36, PLoS Biol :e91.

Epitope Databases Used to find regions that can be recognized by the immune system General Epitope Databases IEDB General epitope database AntiJen (MHC Ligand, TCR-MHC Complexes, T Cell Epitope, TAP, B Cell Epitope molecules and immunological Protein-Protein interactions) FIMM (MHC, antigens, epitopes, and diseases)

More Epitope Databases SYFPEITHI Natural ligands: sequences of peptides eluded from MHC molecules on the surface of cells MHCBN: Immune related databases and predictors HLA Ligand/Motif Database: Discontinued MHCPep: Static since 1998, replaced by FIMM

Prediction of HLA binding Many methods available, including: bimas, syfpeithi, Hlaligand, libscore, mapppB, mapppS,mhcpred, netmhc, pepdist, predbalbc, predep, rankpep, svmhc See links at: Linkshttp://immuneepitope.org/hyperlinks.do?dispatch=load Links Recent benchmark: al_allele.htmlhttp://mhcbindingpredictions.immuneepitope.org/intern al_allele.html

B cell Epitope Databases Linear IEDB, Bcipep, Jenner, FIMM, BepiPred HIV specific database Conformational CED: Conformational B cell epitopes

MHC class II pathway Figure by Eric A.J. Reits

Pathogen Centered Databases HIV Influenza Tuberculosis POX

Reviews Tong JC, Tan TW, Ranganathan S. Methods and protocols for prediction of immunogenic epitopes. Brief Bioinform Oct 31 Web based Tools for Vaccine Design (Lund et al, 2002) webreview.htmlhttp:// webreview.html

Other Resources Gene expression data Localization prediction SignalP

Immunological resources at CBS Web servers CTL epitopes MHC binding Proteasome processing B-cell epitopes Plotting of epitopes relative to reference sequence Analysis of human immunoglobulin VDJ recombination Geno-pheno type association based mapping of binding sites PhD/master course in Immunological Bioinformatics, June,

Other Predictions at CBS Training matrix and neural network methods Training of Gibbs sampler

Links to links IEDB’s Links Linkshttp://immuneepitope.org/hyperlinks.do?dispatch=load Links