课题基金 / 基金详情

INTELLIGENT BIOMEDICAL ASSISTANT

INTELLIGENT BIOMEDICAL ASSISTANT
智能生物医学助手
批准号:
3374197
负责人:
BRUCE G. BUCHANAN
金额:
$14.29万
依托单位国家:
美国
项目类别:
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-08-01 至 1993-01-31

项目摘要

项目成果

BRUCE G. BUCHANAN的其他基金

相关文献

中文摘要
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英文摘要
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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Protein Secondary Structure Prediction Using Two-Level Case-Based Reasoning
使用基于案例的两级推理进行蛋白质二级结构预测
DOI: 10.1089/cmb.1994.1.25
发表时间: 1993
期刊: Journal of computational biology : a journal of computational molecular cell biology
影响因子: --
作者: [Bing Leng, Bruce G. Buchanan, Hugh B. Nicholas]
通讯作者: Hugh B. Nicholas
A model of morphogenesis for protein secondary structures.
蛋白质二级结构的形态发生模型。
DOI: 10.1016/s0022-5193(05)80575-2
发表时间: 1991
期刊: Journal of theoretical biology
影响因子: 2
作者: [Clearwater,SH]
通讯作者: Clearwater,SH
DOI: 10.1016/s0021-9258(18)35798-3
发表时间: 1992-12
期刊: The Journal of biological chemistry
影响因子: --
作者: [L. A. Dempsey;P. Birch;S. Khan]
通讯作者: L. A. Dempsey;P. Birch;S. Khan
DATA MINING AND MODEL BUILDING IN MEDICAL INFORMATICS
ARTIFICIAL INTELLIGENCE METHODS FOR CRYSTALIZATION
DATA MINING AND MODEL BUILDING IN MEDICAL INFORMATICS
ARTIFICIAL INTELLIGENCE METHODS FOR CRYSTALIZATION