Presentation is loading. Please wait.

Presentation is loading. Please wait.

Bioinformatics Centre Instittute of Microbial Technology, Chandigarh Infrastructure for Protein Modelling and Engineering IT related services (Facilities.

Similar presentations


Presentation on theme: "Bioinformatics Centre Instittute of Microbial Technology, Chandigarh Infrastructure for Protein Modelling and Engineering IT related services (Facilities."— Presentation transcript:

1 Bioinformatics Centre Instittute of Microbial Technology, Chandigarh Infrastructure for Protein Modelling and Engineering IT related services (Facilities for IMTECH) Research in Computational Biology Web Servers and Databases BIC @ IMTECH

2 Brief History of the Centre Established in 1987 by DBT Network between centres in 1989, via NICNET. EMAIL facility in 1990 under ERNET project. 1991: Research in Bioinformatics initiated 1994: Alpha Chips based high speed computer. Local Area Network was established in 1994. Internet & Intranet in was setup at IMTECH 1997. Research group in bioinformatics started in1998 Computing Ab/Ag concentration from ELISA data

3 Infrastructure for Molecular Modelling Hardware High Performance Clusters (> 10 Teraflops) –IBM 14 node, 28 core, P6 processos (Best for protein modelling) –SUN HPC/Webserver (160 core AMD), Best for webservices –Supercomputer 400 core of Xeon 3.2GHz (> 6 Teraflops) Bioinformatics cluster: 4 node Apple G5 cluster Workstations: SGI & DELL, SUN, HP graphics workstations Computers for proteins modelling: SGI, SUN, IBM and Digital servers IBM Cluster

4 Computer-Aided Drug Discovery Searching Drug Targets: Bioinformatics Genome Annotation FTGpred: Prediction of Prokaryotic genes EGpred: Prediction of eukaryotic genes GeneBench: Benchmarking of gene finders SRF: Spectral Repeat finder Comparative genomics GWFASTA: Genome-Wide FASTA Search: GWBLAST: Genome wide BLAST search COPID: Composition based similarity search LGEpred: Gene from protein sequence Subcellular Localization Methods PSLpred: localization of prokaryotic proteins ESLpred: localization of Eukaryotic proteins HSLpred: localization of Human proteins MITpred: Prediction of Mitochndrial proteins TBpred: Localization of mycobacterial proteins Prediction of drugable proteins Nrpred: Classification of nuclear receptors GPCRpred: Prediction of G-protein-coupled receptors GPCRsclass: Amine type of GPCR VGIchan: Voltage gated ion channel Pprint: RNA interacting residues in proteins GSTpred: Glutathione S-transferases proteins Protein Structure Prediction APSSP2: protein secondary structure prediction Betatpred: Consensus method for  -turns prediction Bteval: Benchmarking of  -turns prediction BetaTurns: Prediction of -turn types in proteins Turn Predictions: Prediction of  /  /  -turns in proteins GammaPred: Prediction of-turns in proteins BhairPred: Prediction of Beta Hairpins TBBpred: Prediction of trans membrane beta barrel proteins SARpred: Prediction of surface accessibility (real accessibility) PepStr: Prediction of tertiary structure of Bioactive peptides

5 Modelling of Immune System for Designing Epitope-based Vaccines Adaptive Immunity (Cellular Response) : T helper 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

6 BSA BSA+ Conjugate Molecular Modeling and Docking studies Protein Tertiary Structure Prediction using homology modeling and fold recognition techniques. In silico structure- function studies of proteins and their interactions. Elastase with active site (blue) and docked peptide(yellow)

7 Structure of HLA-B27(Beta2m not shown) Alpha1 & Alpha2 domains in yellow; Alpha3 domain in red; Residues of B27, 169-181 in green Molecular simulations of HLA-B27: Molecular Mechanism for Spondyloarthropathies Simulated Annealing Molecular dynamics under implicit solvent Long Dynamics to explore kinetic stability of Modified Structure Top view Side view


Download ppt "Bioinformatics Centre Instittute of Microbial Technology, Chandigarh Infrastructure for Protein Modelling and Engineering IT related services (Facilities."

Similar presentations


Ads by Google