UCLA-DOE Laboratory of Structural Biology & Molecular Medicine, Molecular Biology Institute, UCLA, BOX 951570, Los Angeles, CA-90095-1570
As part of our efforts to cope with the amount of information produced by the several genome sequencing projects, we have developed a Fold Recognition and Genome Analysis Automated Server. This server incorporates our newly developed methods for fold recognition -- the computational assignment of newly determined amino acid sequences to three-dimensional protein structures. In addition, it automatically compiles the results of other sequence analysis methods.
Rather that a set of programs and www links, it is a comprehensive package providing our users with computation time, storage and collection of data, and organization of the results for easy analysis.
The server is aimed to cover the needs of single predictions as well as for entire genome projects.
The main features of this service are:
Single Entry. Sequences are entered only once in one single site.
Fold Recognition (Threading). Executes and reports the results of various fold-recogntion methods.
Sequence Analysis. Accompanies each prediction with the results of other sequence analysis and prediction methods.
Data Organization. The results of the various methods are organized in an html format. The user obtains an html page with the results of the various methods, and not just as a list of links to the methods. The user tailors his needs only once (or uses the default settings) and he automatically obtains the actual results of all his selected methods. He needs not compile them separately from additional www accesses or mail messages.
Data Storage. The results are physically stored in our server site. This means that a user can access the information at any time after the submission of the sequence, without having to repeat the process. In addition, the user may request the html results files and install them locally in his computer. If the user chooses not to have his results publicly available, then the privacy of his sequence is maintained and the results are made available only to him.
Validation. With time, as the structures of the submitted sequences become available, the server will compile statistics of the performance of the various methods. With these statistics, reliability measures of each method will be computed and made public.
Submission of amino sequences are welcome at the url: http://www.mbi.ucla.edu/people/frsvr/frsvr.html.