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PMID: 16080153 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

ABACUS, a direct method for protein NMR structure computation via assembly of fragments.

Proteins ·Vol. 61 ·No. 1 ·2005-10-01 ·Pages 36-43

Grishaev A, Steren CA, Wu B, Pineda-Lucena A, Arrowsmith C, Llinás M

Abstract

The ABACUS algorithm obtains the protein NMR structure from unassigned NOESY distance restraints. ABACUS works as an integrated approach that uses the complete set of available NMR experimental information in parallel and yields spin system typing, NOE spin pair identities, sequence specific resonance assignments, and protein structure, all at once. The protocol starts from unassigned molecular fragments (including single amino acid spin systems) derived from triple-resonance (1)H/(13)C/(15)N NMR experiments. Identifications of connected spin systems and NOEs precede the full sequence specific resonance assignments. The latter are obtained iteratively via Monte Carlo-Metropolis and/or probabilistic sequence selections, molecular dynamics structure computation and BACUS filtering (A. Grishaev and M. Llinás, J Biomol NMR 2004;28:1-10). ABACUS starts from scratch, without the requirement of an initial approximate structure, and improves iteratively the NOE identities in a self-consistent fashion. The procedure was run as a blind test on data recorded on mth1743, a 70-amino acid genomic protein from M. thermoautotrophicum. It converges to a structure in ca. 15 cycles of computation on a 3-GHz processor PC. The calculated structures are very similar to the ones obtained via conventional methods (1.22 A backbone RMSD). The success of ABACUS on mth1743 further validates BACUS as a NOESY identification protocol.

MeSH Terms
Algorithms Bacterial Proteins/chemistry,genetics,metabolism Methanobacterium/chemistry,genetics,metabolism Models, Molecular Nuclear Magnetic Resonance, Biomolecular/methods Protein Structure, Tertiary Structural Homology, Protein
Chemicals
Bacterial Proteins
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Grishaev A
Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
Steren C A
Wu B
Pineda-Lucena A
Arrowsmith C
Llinás M
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
1097-0134
Published
2005-10-01
Pages
36-43
Language
English
Region
United States
NLM ID
8700181
Subset
IM
Grants
NIGMS NIH HHS · GM67965 · United States
NIGMS NIH HHS · P50 GM62513-05 · United States
Databases
PDB
Analysis Services
Analysis Services

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