Hansen M, Bentz J, Baucom A, Gregoret L
Department of Biology, University of California, Santa Cruz 95064, USA.
Pac Symp Biocomput. 1998:106-17.
Gaining functional information about a novel protein is a universal problem in biomedical research. With the explosive growth of the protein sequence and structural databases, it is becoming increasingly common for researchers to attempt to build a three-dimensional model of their protein of interest in order to gain information about its structure and interactions with other molecules. The two most reliable methods for predicting the structure of a protein are homology modeling, in which the novel sequence is modeled on the known three-dimensional structure of a related protein, and fold recognition (threading), where the sequence is scored against a library of fold models, and the highest scoring model is selected. The sequence alignment to a known structure can be ambiguous, and human intervention is often required to optimize the model. We describe an interactive model building and assessment tool in which a sequence alignment editor is dynamically coupled to a molecular graphics display. By means of a set of assessment tools, the user may optimize his or her alignment to satisfy the known heuristics of protein structure. Adjustments to the sequence alignment made by the user are reflected in the displayed model by color and other visual cues. For instance, residues are colored by hydrophobicity in both the three-dimensional model and in the sequence alignment. This aids the user in identifying undesirable buried polar residues. Several different evaluation metrics may be selected including residue conservation, residue properties, and visualization of predicted secondary structure. These characteristics may be mapped to the model both singly and in combination. DINAMO is a Java-based tool that may be run either over the web or installed locally. Its modular architecture also allows Java-literate users to add plug-ins of their own design.
获取新型蛋白质的功能信息是生物医学研究中的一个普遍问题。随着蛋白质序列和结构数据库的爆炸式增长,研究人员试图构建其感兴趣蛋白质的三维模型以获取有关其结构以及与其他分子相互作用的信息变得越来越普遍。预测蛋白质结构的两种最可靠方法是同源建模(其中将新序列基于相关蛋白质的已知三维结构进行建模)和折叠识别(穿线法)(即根据折叠模型库对序列进行评分,并选择得分最高的模型)。与已知结构的序列比对可能不明确,通常需要人工干预来优化模型。我们描述了一种交互式模型构建和评估工具,其中序列比对编辑器与分子图形显示动态耦合。借助一组评估工具,用户可以优化其比对以符合已知的蛋白质结构启发式规则。用户对序列比对所做的调整会通过颜色和其他视觉提示反映在显示的模型中。例如,在三维模型和序列比对中,残基都按疏水性进行着色。这有助于用户识别不良的埋藏极性残基。可以选择几种不同的评估指标,包括残基保守性、残基性质以及预测二级结构的可视化。这些特征可以单独或组合映射到模型上。DINAMO是一个基于Java的工具,可以通过网络运行或本地安装。其模块化架构还允许熟悉Java的用户添加自己设计的插件。