Structural-functional bioinformatics: Knowledge-based NMR interpretation

被引：0
|
作者：
Kulikowski, CA [1 ]
Zimmerman, D [1 ]
Montelione, G [1 ]
Anderson, S [1 ]
机构：
[1] Rutgers State Univ, Dept Comp Sci, Hill Ctr, New Brunswick, NJ 08903 USA
来源：
MEDINFO '98 - 9TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2 | 1998年 / 52卷
关键词：
bioinformatics; automated protein structure determination; NMR data interpretation; constraint satisfaction; artificial intelligence;
D O I：
暂无
中图分类号：
R-058 [];
学科分类号：
摘要：
This paper describes a knowledge-based approach to a problem of structural-functional bioinformatics, specifically the determination of protein structure through the automated analysis of NMR data Highly successful results in carrying out sequence-specific assignments of residues from multidimensional NMR datasets has led us to automation of NOE dataset interpretation and a design for integrating these results with other protein structure and function analysis programs.
引用
收藏
页码：365 / 366
页数：2
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