AUTOMATED EXTRACTING OF AMINO-ACID SPIN SYSTEMS IN PROTEINS USING 3D HCCH-COSY TOCSY SPECTROSCOPY AND CONSTRAINED PARTITIONING ALGORITHM (CPA)/

Citation
Kb. Li et Bc. Sanctuary, AUTOMATED EXTRACTING OF AMINO-ACID SPIN SYSTEMS IN PROTEINS USING 3D HCCH-COSY TOCSY SPECTROSCOPY AND CONSTRAINED PARTITIONING ALGORITHM (CPA)/, Journal of chemical information and computer sciences, 36(3), 1996, pp. 585-593
Citations number
34
Categorie Soggetti
Information Science & Library Science","Computer Application, Chemistry & Engineering","Computer Science Interdisciplinary Applications",Chemistry,"Computer Science Information Systems
ISSN journal
00952338
Volume
36
Issue
3
Year of publication
1996
Pages
585 - 593
Database
ISI
SICI code
0095-2338(1996)36:3<585:AEOASS>2.0.ZU;2-N
Abstract
An automated approach has been developed to extract amino acid spin sy stems from proteins or peptides by analyzing 3D HCCH-COSY/TOCSY spectr a through a constrained,partitioning algorithm. The key step in this a pproach is that two cross peaks are merged to form a spin system not o nly by sharing one frequency but also by observing additional contrain ing cross peaks, such as from COSY and/or TOCSY data. The extracted am ino acid spin systems show the connectivity relationships between thes e spins as well as their chemical shifts. This feature differs from ot her automated spin system extraction programs making it easier to be a pplied to automatic amino acid recognition applications. The 90 amino acid protein N-domain of chicken skeletal troponin-C (1-90) was used t o test the implementation of the algorithm with both simulated and rea l experimental data. Limitations of the algorithm are discussed.