Oldfield T J
Accelrys Inc., Department of Chemistry, University of York, Heslington, York YO10 5DD, England.
Acta Crystallogr D Biol Crystallogr. 2001 Oct;57(Pt 10):1421-7. doi: 10.1107/s0907444901012483. Epub 2001 Sep 21.
Mathematical data-mining techniques to generate a representative set of protein fragments are described. Protein fragments are used as search models within the macromolecular phasing method of molecular replacement to attempt to phase protein data without a homologous model correctly. Preliminary investigations using these fragments indicate that molecular replacement with AMoRe is not sensitive enough to phase myoglobin or insulin data sufficiently for successful refinement. The results suggest that more advanced molecular replacement techniques may be successful, though at present these are not computationally practical.
描述了用于生成一组具有代表性的蛋白质片段的数学数据挖掘技术。蛋白质片段在分子置换的大分子定相方法中用作搜索模型,试图在没有同源模型的情况下正确地对蛋白质数据进行定相。使用这些片段的初步研究表明,使用AMoRe进行分子置换的灵敏度不足以对肌红蛋白或胰岛素数据进行充分定相以成功精修。结果表明,更先进的分子置换技术可能会成功,尽管目前这些技术在计算上不实用。