Workshop on Creating an Infrastructure for Intelligent Systems in Molecular Biology, November 13-14, 1991, NLM

应用智能系统技术解决问题的研究 分子生物学发展迅速。 技术如 人工智能，神经网络，面向对象 数据库、大规模计算机建模和机器人技术正在被 成功应用于遗传学、蛋白质结构 发展，进化，以及生物学的许多其他方面。 的 这种跨学科研究的快速增长创造了一个 基础设施建设和项目规划。 的 预先安排的会议将汇集大约24名活跃的 该领域的研究人员与NLM和NSF的代表， 讨论会议协调等问题， 出版场所、研究支持的分配、 跨学科培训计划，以及数据和 其他资源。除了促进沟通外， 会议的目标是编写一份报告， 需要和一系列常设委员会来帮助解决这些问题 需求 智能系统技术与几个关键技术有关， HPCC计划中的问题。 直接，先进的软件 技术和算法需要智能系统技术; 高性能计算系统将成为 基于新颖的智能软件算法开发。 这 该提案涉及问题领域的一些关键问题 分子生物学，这对许多其他的 HPCC计划的问题域。

Research applying intelligent systems technology to problem in molecular biology is expanding rapidly. Techniques such as artificial intelligence, neural networks, object-oriented databases, large-scale computer modeling, and robotics are being successfully applied to problems in genetics, protein structure, development, evolution, and many other aspects of biology. The rapid growth in this interdisciplinary research has created a need for infrastructure development and program planning. The preposed meeting will bring together about two-dozen active researchers in the field with representatives of NLM and NSF to discuss issues such as coordination of conferences and publication venues, distribution of research support, interdisciplinary training programs, and the sharing of data and other resources. In addition to facilitating communication, the goal of the meeting is to produce a report describing community needs and a set of standing committees to help address those needs. Intelligent systems technology is relevant to several key problems in the HPCC Program. Directly, advanced software technology and algorithms require intelligent systems technology; and indirectly high performance computing systems will be developed based on novel intelligent software algorithms. This proposal addresses some of the key issues in the problem domain of molecular biology, which have implications in many other problem domains of the HPCC Program.