蛋白质结构比对的进展与陷阱
Advances and pitfalls of protein structural alignment.
作者信息
Hasegawa Hitomi, Holm Liisa
机构信息
Institute of Biotechnology, University of Helsinki, P.O. Box 56 (Viikinkaari 5), 00014 University of Helsinki, Finland.
出版信息
Curr Opin Struct Biol. 2009 Jun;19(3):341-8. doi: 10.1016/j.sbi.2009.04.003. Epub 2009 May 27.
Structure comparison opens a window into the distant past of protein evolution, which has been unreachable by sequence comparison alone. With 55,000 entries in the Protein Data Bank and about 500 new structures added each week, automated processing, comparison, and classification are necessary. A variety of methods use different representations, scoring functions, and optimization algorithms, and they generate contradictory results even for moderately distant structures. Sequence mutations, insertions, and deletions are accommodated by plastic deformations of the common core, retaining the precise geometry of the active site, and peripheral regions may refold completely. Therefore structure comparison methods that allow for flexibility and plasticity generate the most biologically meaningful alignments. Active research directions include both the search for fold invariant features and the modeling of structural transitions in evolution. Advances have been made in algorithmic robustness, multiple alignment, and speeding up database searches.
结构比较为蛋白质进化的遥远过去打开了一扇窗口,这是仅通过序列比较无法触及的。蛋白质数据库中有55000个条目,每周大约新增500个结构,因此自动处理、比较和分类是必要的。各种方法使用不同的表示、评分函数和优化算法,即使对于中等距离的结构,它们也会产生相互矛盾的结果。序列突变、插入和缺失通过共同核心的塑性变形来适应,保持活性位点的精确几何形状,而外围区域可能会完全重新折叠。因此,允许灵活性和可塑性的结构比较方法能产生最具生物学意义的比对。活跃的研究方向包括寻找折叠不变特征以及进化中结构转变的建模。在算法稳健性、多序列比对和加速数据库搜索方面已经取得了进展。