Schneider T D
National Cancer Institute, Frederick Cancer Research and Development Center, Laboratory of Mathematical Biology, Frederick, MD 21702-1201, USA.
Nucleic Acids Res. 1997 Nov 1;25(21):4408-15. doi: 10.1093/nar/25.21.4408.
A graphical method is presented for displaying how binding proteins and other macromolecules interact with individual bases of nucleotide sequences. Characters representing the sequence are either oriented normally and placed above a line indicating favorable contact, or upside-down and placed below the line indicating unfavorable contact. The positive or negative height of each letter shows the contribution of that base to the average sequence conservation of the binding site, as represented by a sequence logo. These sequence 'walkers' can be stepped along raw sequence data to visually search for binding sites. Many walkers, for the same or different proteins, can be simultaneously placed next to a sequence to create a quantitative map of a complex genetic region. One can alter the sequence to quantitatively engineer binding sites. Database anomalies can be visualized by placing a walker at the recorded positions of a binding molecule and by comparing this to locations found by scanning the nearby sequences. The sequence can also be altered to predict whether a change is a polymorphism or a mutation for the recognizer being modeled.
本文介绍了一种图形化方法,用于展示结合蛋白和其他大分子如何与核苷酸序列的单个碱基相互作用。代表序列的字符要么正常定向并置于表示有利接触的线之上,要么倒置并置于表示不利接触的线之下。每个字母的正负高度显示了该碱基对结合位点平均序列保守性的贡献,如序列标识所示。这些序列“游走器”可以沿着原始序列数据移动,以直观地搜索结合位点。对于相同或不同的蛋白质,可以将多个游走器同时放置在序列旁边,以创建复杂遗传区域的定量图谱。可以改变序列以定量设计结合位点。通过将游走器放置在结合分子的记录位置,并将其与扫描附近序列所发现的位置进行比较,可以直观地显示数据库异常情况。还可以改变序列,以预测所建模的识别器发生的变化是多态性还是突变。