ARTIFICIAL INTELLIGENCE SYSTEM FOR ANALYSIS OF PROTEINS

大规模的DNA测序工作已经导致了对氨基的认识， 大量蛋白质的酸性序列，其中许多是未知的 功能 自从X射线晶体学和其他物理和生物化学 表征蛋白质的方法是费力和缓慢的， 对使用计算机帮助确定结构的极大兴趣 功能的相关性，并确定已知之间的关系 蛋白质和未知的。 最近的进展是通过应用 人工智能技术导致了蛋白质分析 被称为ARIADNE。 我们在此建议探讨以下可行性： 以个人可以使用的形式实施ARIADNE 实验室和科学家的个人电脑或工作站。 我们 计划在个人计算机上实现ARIADNE，向用户提供 友好的界面和无缝访问分子数据库，以及 评估其性能。 作为一种潜在的商业产品， 软件可以在许多研究实验室中使用。 该方案还可以 是一个非常重要的工具，用于大规模测序产生的数据 例如人类基因组计划。

Large scale DNA sequence efforts have resulted in knowledge of the amino acid sequences of a large number of proteins, many of which have no known function. Since X-ray crystallography and other physical and biochemical methods for characterizing proteins are laborious and slow, there is great interest int he use of computers to help determine structural correlates of function and to ascertain relationships between known proteins and unknown ones. Recent progress has been made by application of artificial intelligence techniques resulting in a protein analysis system known as ARIADNE. We propose here to explore the feasibility of implementing ARIADNE in a form that can be used by individual laboratories and scientists on personal computers or workstations. We plan to implement ARIADNE on a personal computer, provide it with a user friendly interface and seamless access to molecular databases, and evaluate its performance. As a potential commercial product such software could be used in many in research labs. The program could also be a very important tool for data resulting from large scale sequencing efforts such as the Human Genome Project.