Miller R T, Jones D T, Thornton J M
Department of Biochemistry and Molecular Biology, University College, London, United Kingdom.
FASEB J. 1996 Jan;10(1):171-8. doi: 10.1096/fasebj.10.1.8566539.
Protein fold recognition has been approached by threading an amino acid sequence onto a library of folds, calculating a sequence-structure compatibility score, and ranking these scores. Due to imperfections in the empirically derived pairwise potential functions and the necessarily heuristic approach to the sequence-structure alignment problem, the method benefits from the assessment of threaded models to evaluate the most probable structures among the list of possible folds. THREADER and ANALYST, software tools available through the Internet, facilitate the alignment and assessment steps of a threading prediction. No process has been found to be universally reliable for the detection of folds related to the structure of a known input sequence, but several useful steps and approaches are discussed.
蛋白质折叠识别是通过将氨基酸序列套用到折叠库上,计算序列-结构兼容性得分,并对这些得分进行排序来实现的。由于经验推导的成对势函数存在缺陷,以及序列-结构比对问题必然采用启发式方法,该方法受益于对套入模型的评估,以评估可能折叠列表中最可能的结构。THREADER和ANALYST是可通过互联网获取的软件工具,它们有助于套入预测的比对和评估步骤。尚未发现有任何方法对于检测与已知输入序列结构相关的折叠是普遍可靠的,但本文讨论了一些有用的步骤和方法。