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]

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

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

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

 1. Accurate AbInitio ProteinStructure Prediction

 1. Rational design of small molecule inhibitors of proteins

 1. Mechanistic understanding of protein evolution : understanding exactly how new protein functions evolve

 1. Mechanistic understanding of [[Speciation]] : molecular details of how speciation occurs

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

 1. 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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