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了解 大量蛋白质的酸序列，其中许多未知 功能。由于X射线结晶学和其他物理和生化 表征蛋白质的方法既费力又慢，有 对使用计算机帮助确定结构非常感兴趣 函数的关联性，并确定已知的 蛋白质和未知的蛋白质。通过应用，最近取得了进展 人工智能技术导致蛋白质分析 被称为阿里阿德涅的系统。我们在此建议探讨 以可供个人使用的形式实现Ariadne 个人计算机或工作站上的实验室和科学家。我们 计划在个人计算机上实现Ariadne，并为其提供用户 友好的界面和对分子数据库的无缝访问，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。该计划还可以 是大规模测序数据的一个非常重要的工具 人类基因组计划等努力。

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.