title: SANE (Structure Assisted NOE Evaluation): an automated model-based approach for NOE assignment.
abstract: A reliable automated approach for assignment of NOESY spectra would allow more rapid determination of protein structures by NMR. In this paper we describe a semi-automated procedure for complete NOESY assignment (SANE, Structure Assisted NOE Evaluation), coupled to an iterative procedure for NMR structure determination where the user is directly involved. Our method is similar to ARIA [Nilges et al. (1997) J. Mol. Biol., 269, 408-422], but is compatible with the molecular dynamics suites AMBER and DYANA. The method is ideal for systems where an initial model or crystal structure is available, but has also been used successfully for ab initio structure determination. Use of this semi-automated iterative approach assists in the identification of errors in the NOE assignments to short-cut the path to an NMR solution structure.
authors.affiliation: Department of Molecular Biology MB2 and Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
authors.forename: B M
authors.initials: BM
authors.lastname: Duggan
authors.forename: G B
authors.initials: GB
authors.lastname: Legge
authors.forename: H J
authors.initials: HJ
authors.lastname: Dyson
authors.forename: P E
authors.initials: PE
authors.lastname: Wright
mesh_terms: D001331:Automation; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008962:Models, Theoretical; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D012984:Software