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

将智能系统技术应用于分子生物学问题的研究正在迅速扩大。人工智能、神经网络、面向对象的数据库、大规模计算机建模和机器人等技术正在成功地应用于遗传学、蛋白质结构、发育、进化和生物学的许多其他方面的问题。这种跨学科研究的快速增长产生了对基础设施发展和项目规划的需求。会议将召集该领域大约24名活跃的研究人员与NLM和NSF的代表一起讨论会议和出版场所的协调、研究支持的分配、跨学科培训计划以及数据和其他资源的共享等问题。除了促进沟通，会议的目标是编写一份报告，说明社区的需求，并设立一系列常设委员会来帮助满足这些需求。智能系统技术与HPCC计划中的几个关键问题相关。先进的软件技术和算法直接需要智能系统技术，间接的高性能计算系统将基于新的智能软件算法开发。这项建议解决了分子生物学问题领域中的一些关键问题，这些问题对HPCC计划的许多其他问题领域都有影响。

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.