9 future challenges for bioinformatics
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9 Future Challenges for Bioinformatics
Adapted from an article by:
E. Birney, C. Burge, and J. Fickett, Genome Technology, issue 17, Jan. 2002
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9 Future Challenges for Bioinformatics
#1: Precise model of transcription initiation and termination: ability to predict where, when, and at what rate transcription will occur
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Endo16 Regulatory Network
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9 Future Challenges for Bioinformatics
#2: Precise model of RNA splicing: ability to predict the splicing pattern of any primary transcript in any tissue
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9 Future Challenges for Bioinformatics
#3: Precise model of signal transduction pathways: ability to predict cellular responses to external stimuli
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EGF Recepter Signaling Pathway
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9 Future Challenges for Bioinformatics
#4: Precise model for the following binding interactions:– protein-DNA
– protein-RNA
– protein-protein
– RNA-RNA
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Zinc Finger – DNA Binding
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9 Future Challenges for Bioinformatics
#5: Accurate ab initio RNA structure prediction
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SARS s2m RNA
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9 Future Challenges for Bioinformatics
#6: Accurate ab initio protein structure prediction
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Structure of β-amylase
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9 Future Challenges for Bioinformatics
#7: Rational design of small molecule inhibitors of proteins
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Fasciculin Docked with AChE
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9 Future Challenges for Bioinformatics
#8: Development of gene ontologies: systematic ways to describe and predict the functions of any gene or protein
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9 Future Challenges for Bioinformatics
#9: Precise model of evolution: understanding exactly how biological sequences evolve
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HERV-K Retrovirus Insertions
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Other Challenges
• Development: how do cells specialize?
• Speciation: what is the mechanism?
• Disease models: diagnosis, prognosis, treatment
• Drug design: discovery, validation, development
• Individualized medicine
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Relevant Math. & Comp. Sci.
• Probability and statistics• Combinatorics• Information theory• Mathematical modeling• Algorithm design and analysis• Databases• Machine learning• Text mining, natural language processing• Image processing• User interfaces
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