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Bioinformatics Dipl. Ing. (FH) Patrick Grossmann 231793@pwr.edu.pl
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Contents Bioinformatics have a look Bioinformatics … wait what? Current researches Practical Examples Genomics: - Description of DNA and co. - The 1000 Genome Project Modeling Folding at home Conclusion 2
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What does this picture have to do with bioinformatics? Bioinformatics: Take a look 3
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Bioinformatics … wait what? Biology: –Science related to living being Informatics –Science of computer systems Bioinformatics: –Is the analysis of biological information 4
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Some people may say... Source: http://image.slidesharecdn.com/ bioinformaticscourse- 120530093959- phpapp02/95/bioinformatics- course-6-728.jpg?cb=1345459032 5
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Current Research in bioinformatics(1) Cancer Genetic mutations Protein expressions Evolution Sequence analysis 6 Source: https://en.wikipedia.org/wiki/Bi oinformatics#/media/File:Image_ DNA_sequence_-_png.png
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Current Research in bioinformatics(2) 7
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Practical Examples Computational evolutionary biology –Build complex models to predict the system over time -> above a large number of species 8
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Practical Examples 9
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Usage in Agriculture Source: https://www.kickstarter.com/pr ojects/antonyevans/glowing- plants-natural-lighting-with-no- electricit?lang=de 10
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Practical Examples Genetic disease analysis Source: http://www.institut-biotherapies.fr/wp-content/uploads/2013/01/Exp_transmission_ang.jpg 11
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Bioinformatics and Genomics(1) Genomics is the study of the collective genetic material in an organism. identifying specific genes in a sequence which could be of interest. 12
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Genomics(2) In genomics, scientists analyze the DNA in every chromosome of the organism of interest. When a completely sequenced set of DNA has been created, this set is collectively known as a “genome.” Aim: Function of each gene 13
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The 1000 Genome Project Successor of “The Human Genome Project” –Aim: Analyze 2500 People all over the world and get information's Results: –Every person carries about 200-300 genomes without functions 14
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The 1000 Genome Project Source: https://en.wikipedia.org/wiki/1000_Genomes_Project#/media/File:Genetic_Variation.jpg
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Proteomics : Protein structure prediction(1) Genomic projects have provided large number of sequence information We Should obtain some benefit from this information. 17
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Proteomics : Protein structure prediction(2) Know structural basis -> biology progress aims at identifying functional networks of proteins Structure of proteins can be modeled using homology modeling -> 3D models Rational drug design heavily relies on the structural knowledge of a protein 18
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Homology modeling Create Protein out of its amino acid sequence 20 Discover unknown sequences Create model with known sequences Find something to resemble it
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Software used for Homology modeling(1) E.g PyMOL (swiss made, used by Novartis) PyMOL can be extended via Python Uses adaptive Poisson Boltzman Solving systems MPACK 21
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Software used for Homology modeling(2) MPACK (Modeling Package) is an integrated protein-modeling suite designed to handle modeling of proteins effectively Uses neural networks Final model is obtained using PyMOL 22
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The results of modeling 23 Source: https://de.wikipedia.org/wiki/PyMOL
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Folding at home MOST important part of disease research –If you can’t fold it, you can’t use it
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Folding at home Nussinov Algorithm (not used anymore) 25
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Conclusion Bioinformatics is a powerful days nowadays disease treatment drugs development better understanding of living beings Plenty of ways available: – such as chain-termination method or homology modeling 26
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That’s it that’s all 27 Source: http://thumbs.dreamstime.com/z/dna-strand-question-mark-against-arranged-used-as-illustrations-medical-health-40876052.jpg
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