Institute of Microbial Technology, Chandigarh, India Email: - - PowerPoint PPT Presentation

institute of microbial technology chandigarh india email
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Institute of Microbial Technology, Chandigarh, India Email: - - PowerPoint PPT Presentation

Institute of Microbial Technology, Chandigarh, India Email: raghava@imtech.res.in http://crdd.osdd.net/ Email: raghava@imtech.res.in http://crdd.osdd.net/ http://ww.imtech.res.in/raghava/


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Institute of Microbial Technology, Chandigarh, India Email: raghava@imtech.res.in http://crdd.osdd.net/ http://ww.imtech.res.in/raghava/ Email: raghava@imtech.res.in http://crdd.osdd.net/ http://ww.imtech.res.in/raghava/

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Peptide/ Proteins Drug/inhibitor/vaccine/ Disease Diagnostics Peptide Structure, docked structure Peptide-Protein Interaction Adaptive Immunity: B-cell, T-cell Epitope Innate Immunity: Toll-like receptors Anti-(bacterial , microbial, cancer, viral) peptides Mimotopes for diseases diagnostics Structure prediction: Natural, non-natural , modified bonds Structure determination: Natural, non-natural , modified bonds Synthesis: Phase display, SPSS, Codon Suffeling Natural bioactive peptides from metagenomics Mimotopes for B/T epitopes Mimicking of Drug Molecules ADMET: Proteolytic enzymes, Half-life Oral Delivery : Trans. & Adjuvant Size Optimization for function/Str.

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Application of peptides in treating cancer Limitation of Peptides & Challenge for Bioinformaticians Peptide Web Servers Peptide Databases Therapeutic Application of Peptides

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Therapeutic Application of Biomolecules

Peptide based Drugs (Small Molecule, Peptide, Protein)

  • Anticancer peptides
  • Antibacterial peptides

Peptide for delivering drug

  • Cell-penetrating peptides
  • Tumor-homing peptides

Peptide as disease diagnostics

  • Disease specific Mimotopes

Epitope/Peptide based Vaccines

  • T-cell epitopes
  • B-cell epitopes
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Limitation of Peptides & Challenges for Bioinformaticians

  • 1. Peptide Degradation (short half-life)
  • Large peptide degrading enzymes
  • Hepatic/renal Clearance (liver/kidenys)
  • 2. Low Oral Bioavailability (injection)
  • 3. High conformational flexibility
  • Environment dependent tertiary structure
  • Low selectivity
  • 4. Immunogenicity and antigenicity
  • 5. High cost of production & Storage
  • Modification/glycosylation of peptides
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Important Resources/Databases MHCBN: MHC binding and non-binding peptides CPPsite: Cell penetrating peptides BCIpep: B-cell epitope datbase HMRbase: A database of hormones and their receptors TumorHope: Tumor hoping peptides TumorHPD: Designing of Tumor Homing Peptides CellPPD: Designing of cell penetrating peptides Pepstr: Prediction of Peptide structure AntiCP: Prediction and designing of anticancer peptides

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Pathogens/Invaders

Disease Causing Agents Innate Immunity Vaccine Delivery Protective Antigens Adaptive Immunity Bioinformatics Centre IMTECH, Chandigarh

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Innate Immunity Vaccine Delivery Protective Antigens Adaptive Immunity Bioinformatics Centre IMTECH, Chandigarh WHOLE ORGANISM

Attenuated

Epitopes (Subunit Vaccine) Purified Antigen T cell epitope

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Prediction of CTL Epitopes (Cell-mediated immunity) ER TAP

Innate Immunity Vaccine Delivery Protective Antigens Adaptive Immunity Bioinformatics Centre IMTECH, Chandigarh

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Prediction of B-Cell Epitopes

  • BCEpred: Prediction of Continuous B-cell epitopes

– Benchmarking of existing methods – Poor performance slightly better than random – Combine all properties and achieve accuracy around 58%

– Saha and Raghava (2004) ICARIS 197-204.

  • ABCpred: ANN based method for B-cell epitope prediction

– Extract all epitopes from BCIPEP (around 2400) – 700 non-redundant epitopes used for testing and training – Recurrent neural network – Accuracy 66% achieved – Saha and Raghava (2006) Proteins,65:40-48

  • ALGpred: Mapping and Prediction of Allergenic Epitopes

– Allergenic proteins – IgE epitope and mapping – Saha and Raghava (2006) Nucleic Acids Research 34:W202-W209

  • CBTOPE: Prediction of conformational epitopes

Innate Immunity Vaccine Delivery Protective Antigens Adaptive Immunity Bioinformatics Centre IMTECH, Chandigarh

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Modelling of Immune System for Designing Epitope-based Vaccines

Adaptive Immunity (Cellular Response) : Thelper Epitopes Adaptive Immunity (Cellular Response) : CTL Epitopes Adaptive Immunity (Humoral Response) :B-cell Epitopes Innate Immunity : Pathogen Recognizing Receptors and ligands Signal transduction in Immune System Propred: for promiscuous MHC II binders MMBpred:for high affinity mutated binders MHC2pred: SVM based method MHCBN: A database of MHC/TAP binders and non-binders Pcleavage: for proteome cleavage sites TAPpred: for predicting TAP binders Propred1: for promiscuous MHC I binders CTLpred: Prediction of CTL epitopes Cytopred: for classification of Cytokines BCIpep: A database of B-cell eptioes; ABCpred: for predicting B-cell epitopes ALGpred: for allergens and IgE eptopes HaptenDB: A datbase of haptens PRRDB: A database of PRRs & ligands Antibp: for anti-bacterial peptides

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Peptide structure prediction

  • 3D structures of 77 biologically active peptides (9-20 residues)
  • 3D structures of 77 biologically active peptides (9-20 residues)
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Peptide structure prediction

Averaged backbone root mean deviation before and after energy minimization and dynamics simulations. Averaged backbone root mean deviation before and after energy minimization and dynamics simulations.

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Peptide Web Servers

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Peptide Web Servers

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Designing of antibacterial stable peptides Scanning of peptides in a protein Submition of multiple peptides

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Peptide Resources/Databases

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Peptide Web Servers

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Designing of therapeutic peptides against cancer Anticancer peptides Designing of effective anticancer peptides Peptide inhibitors Identification of inhibitors against cancer targets Cell Penetrating Peptides CPPsite: Database CellPred: Design

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Tumor Homing Peptides TumorHoPe: Database TumorHPD: Design Peptides Half-life HLP: prediction in intestine Toxicity of Peptides Immuno-, cyto-toxicity Off targets

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Peptide Resources/Databases

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Peptide Resources/Databases

Work in Progress

  • 1. Prediction of CPP 2. Designing CPP
  • 3. Scanning in proteins
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Thankyou