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

页码：365 / 366

页数：2

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