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由前苏联“逃往”美国的beyond达尔文的伟大的进化生物学家koonin

已有 3661 次阅读 2011-12-27 10:23 |系统分类:科研笔记| 达尔文, 美国, 生物学, Health, beyond

    我个人对年轻的koonin先生(1983年获得莫斯科国立大学获得分子生物学phd PhD Molecular Biology (1983) Moscow State University)在分子进化生物学领域做出的成绩敬仰不异。有位进化生物学研究老前辈(其实也不是很老,依然健在)说过,离开进化生物学,生物学无法make sense (关注进化论的朋友肯定很了解,好像是杜布赞斯基说的).因此进行生物学研究的朋友可以多看看koonin先生的工作,当然还有其他牛人的工作.
    1980年代末开始发表了一系列卓越的研究成果,90年代初奔赴美国,并扎根NCBI(美国国立生物信息中心),这里的数据库搜集 和汇聚了全世界的绝大部分的生物分子信息,koonin通过分析整理这些数据,发表了连续的从分子生物学和进化角度阐明生命进化之树的卓越的优秀论文,并创立和参与多种期刊的工作,比如《BMC biology direct》,并开创了实名同行论文评议机制。
    下图照片中,中间身材瘦小头大的就是koonin先生!
    现在他带领一个卓越的团队在作战!

http://www.ncbi.nlm.nih.gov/CBBresearch/Koonin/index.html
Eugene V. Koonin
Senior Investigator
National Center for Biotechnology Information (NCBI)
National Library of Medicine (NLM)
National Institutes of Health (NIH)
Principal Research InterestsWe are interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.
  1. Empirical comparative and evolutionary genomics: comparison of prokaryotic and eukaryotic genomes with the aim of predicting gene functions, constructing evolutionary scenarios for particular gene families and functional categories, and deciphering general evolutionary trends. An evolutionary phenomenon we are particularly interested in is horizontal gene transfer between diverse organisms, in particular, from prokaryotes to eukaryotes and vice versa. One of the important outcomes of research in this area is the system of Clusters of Orthologous Genes (COGs).
  2. Exploration of the "Phylogenetic Forest": comparative analysis of phylogenetic trees for individual genes and identification of common trends between them. Development of more comprehensive approaches to the representation of genome evolution that combine tree-like and net-like trends.
  3. Exploitation of genome comparisons, particularly, those between relatively close genomes, for addressing fundamental issues of evolutionary biology such as the nature and intensity of adaptation and selection in different categories of genes and different organismal lineages.
  4. Classification and evolutionary analysis of protein domains and domain architectures. An important dimension in this type of research is discovery of "new" domains that are shared by many diverse proteins but have not been defined previously.
  5. Origin and evolution of viruses.
  6. General physical principles of evolution.

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