CAMRA: chemical shift based computer aided protein NMR assignments.

A suite of programs called CAMRA (Computer Aided Magnetic Resonance Assignment) has been developed for computer assisted residue-specific assignments of proteins. CAMRA consists of three units: ORB, CAPTURE and PROCESS. ORB predicts NMR chemical shifts for unassigned proteins using a chemical shift database of previously assigned homologous proteins supplemented by a statistically derived chemical shift database in which the shifts are categorized according to their residue, atom and secondary structure type. CAPTURE generates a list of valid peaks from NMR spectra by filtering out noise peaks and other artifacts and then separating the derived peak list into distinct spin systems. PROCESS combines the chemical shift predictions from ORB with the spin systems identified by CAPTURE to obtain residue specific assignments. PROCESS ranks the top choices for an assignment along with scores and confidence values. In contrast to other auto-assignment programs, CAMRA does not use any connectivity information but instead is based solely on matching predicted shifts with observed spin systems. As such, CAMRA represents a new and unique approach for the assignment of protein NMR spectra. CAMRA will be particularly useful in conjunction with other assignment methods and under special circumstances, such as the assignment of flexible regions in proteins where sufficient NOE information is generally not available. CAMRA was tested on two medium-sized proteins belonging to the chemokine family. It was found to be effective in predicting the assignment providing a database of previously assigned proteins with at least 30% sequence identity is available. CAMRA is versatile and can be used to include and evaluate heteronuclear and three-dimensional experiments.

Automated 1H and 13C chemical shift prediction using the BioMagResBank.

A computer program has been developed to accurately and automatically predict the 1H and 13C chemical shifts of unassigned proteins on the basis of sequence homology. The program (called SHIFTY) uses standard sequence alignment techniques to compare the sequence of an unassigned protein against the BioMagResBank--a public database containing sequences and NMR chemical shifts of nearly 200 assigned proteins [Seavey et al. (1991) J Biomol. NMR, 1, 217-236]. From this initial sequence alignment, the program uses a simple set of rules to directly assign or transfer a complete set of 1H or 13C chemical shifts (from the previously assigned homologues) to the unassigned protein. This 'homologous assignment' protocol takes advantage of the simple fact that homologous proteins tend to share both structural similarity and chemical shift similarity. SHIFTY has been extensively tested on more than 25 medium-sized proteins. Under favorable circumstances, this program can predict the 1H or 13C chemical shifts of proteins with an accuracy far exceeding any other method published to date. With the exponential growth in the number of assigned proteins appearing in the literature (now at a rate of more than 150 per year), we believe that SHIFTY may have widespread utility in assigning individual members in families of related proteins, an endeavor that accounts for a growing portion of the protein NMR work being done today.

SEQSEE: a comprehensive program suite for protein sequence analysis.

SEQSEE (SEQuence SEEker) is a multi-purpose, menu-driven suite of programs designed to provide a fully integrated, state-of-the-art package for the analysis and display of protein sequences and protein databases. It is currently configured to run on most UNIX-based machines including Sun, SGI and NeXT workstations with conversion to other architectures (e.g. Vax or Cray) being a relatively simple task. SEQSEE is capable of performing nearly all of the analytical and comparative tasks found in most comprehensive commercially available software packages. These include sequence/database searching, sequence retrieval, sequence entry and editing, statistical sequence analysis, multiple sequence alignment, flexible pattern matching, and secondary structure prediction. SEQSEE also integrates a number of unique databases which allow it to perform many additional functions such as structure-based sequence alignments and homology-based secondary structure prediction. Additional enhancements to many previously published algorithms have substantially improved the performance of SEQSEE over that found for most other commercial products. The source code, the documentation and all of the required databases for SEQSEE are freely available and may be obtained by anonymous ftp.