APART: automated preprocessing for NMR assignments with reduced tedium.
BACKGROUND
High-throughput NMR structure determination is a goal that will require progress on many fronts, one of which is rapid resonance assignment. An important rate-limiting step in the resonance assignment process is accurate identification of resonance peaks in the NMR spectra. Peak-picking schemes range from incomplete (which lose essential assignment connectivities) to noisy (which obscure true connectivities with many false ones). We introduce an automated preassignment process that removes false peaks from noisy peak lists by requiring consensus between multiple NMR experiments and exploiting a priori information about NMR spectra. This process is designed to accept multiple input formats and generate multiple output formats, in an effort to be compatible with a variety of user preferences.


RESULTS
Automated preprocessing with APART rapidly identifies and removes false peaks from initial peak lists, reduces the burden of manual data entry, and documents and standardizes the peak filtering process. Successful preprocessing is demonstrated by the increased number of correct assignments obtained when data are submitted to an automated assignment program.


BACKGROUND
APART is available from http://sir.lanl.gov/NMR/APART.htm


BACKGROUND
npawley@lanl.gov; rmichalczyk@lanl.gov


BACKGROUND
Manual pages with installation instructions, procedures and screen shots can also be found at http://sir.lanl.gov/NMR/APART_Manual1.pdf.
Pawley
Norma H
NH
Los Alamos National Laboratory, Bioscience Division MS G758, Los Alamos, NM 87545, USA. npawley@lanl.gov
Gans
Jason D
JD
Michalczyk
Ryszard
R
D000465:Algorithms; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008956:Models, Chemical; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D011487:Protein Conformation; D011506:Proteins / Q000032:analysis* / Q000737:chemistry*; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013269:Stochastic Processes
D011506:Proteins