BioinformaticsInformation의 메일링리스트에 소개된 현재 생물정보학의 10대 도전과제

Ewan Birney, Chris Burge, Jim Fickett in Genome Technology, Jan 2002

1. Precise, predictive model of transcription initiation and termination : ability to predict where and when transcription will occur in a [Genome]

2. Precise, predictive model of RnaSplicing / AlternativeSplicing : ability to predict the splicing pattern of any primary transcript in any tissue

3. Precise, quantitative models of SignalTransduction pathways : ability to predict cellular responses to external stimuli

4. Determining effective [Protein]-[DNA], [Protein]-[RNA] and [Protein]-[Protein] recognition codes

5. Accurate AbInitio ProteinStructure Prediction

6. Rational design of small molecule inhibitors of proteins
7. Mechanistic understanding of protein evolution : understanding exactly how new protein functions evolve
8. Mechanistic understanding of [Speciation] : molecular details of how speciation occurs

9. Continued development of effective GeneOntology systematic ways to describe the functions of any [Gene] or [Protein]

10. Education : development of appropriate bioinformatics curricula for high school, undergraduate, and graduate programs

Concerned post

1. [http://www.nodalpoint.org/2006/12/05/top_bioinformatics_challenges_chris_burge_et_al Top Bioinformatics Challenges (Chris Burge et al.)]

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