9 future challenges for bioinformatics

Post on 21-Jan-2016

38 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

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

TRANSCRIPT

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

5

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

top related