INTELLIGENT BIOMEDICAL ASSISTANT

具有重要生物学意义的信息和数据的快速爆炸 分子需要强大的计算机软件来帮助科学家 整合和理解这些信息。作为数量、大小和 网上信息和数据库的种类增多，变得不合理 假设工作中的科学家将充分了解 这些信息资源的组织和内容。的假说 我们在智能助手的设计和开发方面所做的工作 分子生物学家认为基于知识的系统技术是 足够成熟，足以协助发现和解释 与分子生物学研究相关的信息。 我们的长期目标是提高生物医学科学家的生产力 通过设计、实施和提供基于计算机的智能 他们的助手。有无限数量的这样的助手 可以构建，其中一些已经以某种形式存在，范围从 智能管理日常活动(例如数据)的助理 收藏)提供给那些帮助完成创造性任务的人(例如解释 异常情况和计划实验)。创建一种统一、易于使用的 对于这一广泛的助理集合来说，环境成为必不可少的 目标的一部分，因为我们只有在科学家能够使用 我们提供的软件。因此，我们设想了一个生物化学家的工作站 科学家可以使用各种各样的基于计算机的工具，包括 专业助手、匹配算法、模拟和数据库。 具体地说，我们建议设计和开发一个工作站，它将 作为智能生物医学助手(IBA)为研究人员在 分子生物学和遗传学。这个IBA将是一个高度适应性和 采用人工智能技术的可扩展系统 (特别是专家系统和概念学习)将有助于 模型建立、实验计划和假设检验方面的研究人员。 IBA将被组织起来，以协助解决结构和功能问题 关于与DNA结合的蛋白质。它将了解一些 目前存在的帮助研究人员的现有软件和数据库， 并将包括分子生物学的基本知识，其中的问题是 被陷害了。

The rapid explosion of information and data on biologically important molecules requires powerful computer software to aid scientists with integrating and understanding that information. As the number, size, and types of on-line information and databases increase, it becomes unreasonable to assume that working scientists will have a full understanding of the organization and contents of these information resources. The hypothesis of our work in the design and development of an intelligent assistant for molecular biologists is that the technology of knowledge-based systems is sufficiently mature to assist in the discovery and interpretation of information relevant to molecular biological research. Our long-term goal is to increase the productivity of biomedical scientists by designing, implementing, and providing computer-based intelligent assistants for them. There are limitless numbers of such assistants that can be built, some of which already exist in some form, ranging from assistants that manage routine activities intelligently (e.g., data collection) to those that assist in creative tasks (such as explaining anomalies and planning experiments). Creating a uniform, easy to use environment for this broad collection of assistants becomes an essential part of the goal since we can only save scientists' time if they can use the software we provide. Thus we envision a biochemist's workstation with which scientists can exercise a wide variety of computer-based tools, including specialized assistants, matching algorithms, simulations, and databases. Specifically, we propose to design and develop a workstation which will function as an Intelligent Biomedical Assistant (IBA) for researchers in molecular biology and genetics. This IBA will be a highly adaptive and extensible system which will employ techniques from Artificial Intelligence (particularly expert systems and concept learning) which will assist the researcher in model building, experiment planning and hypothesis testing. The IBA will be assembled to assist with structural and functional questions about proteins that bind to DNA. It will have knowledge of some of the existing software and databases that currently exist to help researchers, and will include basic knowledge of molecular biology in which questions are framed.