1. 9 Future Challenges for Bioinformatics
Adapted from an article by:
E. Birney, C. Burge, and J. Fickett, Genome Technology, issue 17, Jan. 2002

2. 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

3. Endo16 Regulatory Network

4. 9 Future Challenges for Bioinformatics
#2: Precise model of RNA splicing: ability to predict the splicing pattern of any primary transcript in any tissue

6. 9 Future Challenges for Bioinformatics
#3: Precise model of signal transduction pathways: ability to predict cellular responses to external stimuli

7. EGF Recepter Signaling Pathway

8. 9 Future Challenges for Bioinformatics
#4: Precise model for the following binding interactions:
protein-DNA
protein-RNA
protein-protein
RNA-RNA

9. Zinc Finger – DNA Binding

10. 9 Future Challenges for Bioinformatics
#5: Accurate ab initio RNA structure prediction

11. SARS s2m RNA

12. 9 Future Challenges for Bioinformatics
#6: Accurate ab initio protein structure prediction

13. Structure of β-amylase

14. 9 Future Challenges for Bioinformatics
#7: Rational design of small molecule inhibitors of proteins

15. Fasciculin Docked with AChE

16. 9 Future Challenges for Bioinformatics
#8: Development of gene ontologies: systematic ways to describe and predict the functions of any gene or protein

17. 9 Future Challenges for Bioinformatics
#9: Precise model of evolution: understanding exactly how biological sequences evolve

18. HERV-K Retrovirus Insertions

19. Other Challenges Development: how do cells specialize?
Speciation: what is the mechanism?
Disease models: diagnosis, prognosis, treatment
Drug design: discovery, validation, development
Individualized medicine

20. 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