UNDERSTANDING PROTEIN-NUCLEIC ACID INTERACTIONS

锌指的结构和作用机制是什么 金属桥结构域与核酸？ 这个问题是解决 通过对手指区域的详细结构分析， 几种已知的核酸结合蛋白。锌指蛋白数据库 蛋白质已经被组装用于统计和 单个手指区域的结构建模。锌指 数据库的建立积累了完整的收集潜在的 锌指基因序列，可以快速搜索 研究界的成员，以防止重大重复， 排序的努力。此集合包含已发布和 未发表的基因序列数据。数据库可用于序列 DCRT Convex 240上的比较。提供的服务 新的锌指基因序列通过电子邮件 到NIH并添加到数据库中，以及FASTA搜索 返回的结果中没有对齐。统计数据的直方图 搜索结果的分布和潜在分数的列表是 包括.当发生与未发布序列的匹配时， 返回提交作者的姓名和联系信息， 有关各方可以相互通信。迄今 集合包含178个不同的条目，增加了20% 与去年相比。这个功能相关的大型集合 sequences为多序列提供了一个很好的问题集 比对和基序分析测试。 这些数据的统计分析揭示了5个重复类的锌 指状金属桥结构域的长度范围为27至32个氨基酸 和22种不同的重复模式 此外，成分统计 最大的一类结构域，29个氨基酸重复长度，揭示了 丝氨酸或苏氨酸的显著保守性， 指状结构域的DNA结合区中的精氨酸或谷氨酰胺。 建立了核酸序列之间的关联， 已经观察到一些域。势能的物理模型 选择的结构域与DNA螺旋的DNA相互作用螺旋区 已经揭示了一些细节脱水的主要沟为一个 序列特异性识别事件。这些研究还在继续， 探索选定的一组手指的每种可能的DNA相互作用 域.

What is the structure and mechanism of interaction of the zinc finger metal bridge domains with nucleic acids? This question is addressed through a detailed structural analysis of the finger regions from several known nucleic acid binding proteins. A database of zinc finger proteins has been assembled for the purpose of statistical and structural modeling of the individual finger regions. The Zinc Finger Database was established to accumulate a complete collection of potential zinc finger gene sequences that could be rapidly searched by the members of the research community to prevent a major duplication of sequencing efforts. This collection contains both published and unpublished gene sequence data. The database is available for sequence comparisons on the DCRT Convex 240. The service provided to the research community is that new zinc finger gene sequences are e-mailed to the NIH and added to the database, and a FASTA search of the results is returned without the alignments. A histogram of the statistical distribution of the search results and listing of the potential scores are included. When a match to an unpublished sequence occurs, then the name and contact information of the submitting author are returned so the concerned parties may correspond with each other. To date the collection contains 178 different entries, which is a 20% increase compared to last year. This large collection of functionally related sequences has provided an excellent problem set for multiple sequence alignment and motif analysis tests. Statistical analysis of these data have revealed 5 repeat classes of zinc finger metal bridge domains ranging in length from 27 to 32 amino acids and 22 different repeat patterns. Furthermore, compositional statistics of the largest class of domains, 29 amino acid repeat length, reveals a remarkable conservation of serine or threonine when there is an arginine or glutamine in the DNA binding region of the finger domain. A correlation between the nucleic acid sequence was established and some domains have been observed. Physical modeling of the potential DNA interaction helical regions of selected domains with a DNA helix have revealed some details of dehydration of the major groove for a sequence-specific recognition event. These studies are continuing to explore each possible DNA interaction for a selected set of finger domains.