Protein sequence analysis in silico: application of structure-based bioinformatics to genomic initiatives.
The current pace of high-throughput genome sequencing programs coupled with high-throughput functional genomic screens has provided researchers with a bewildering array of sequence and biological data to contend with. Identification of proteins of interest from a particular biological study requires the application of bioinformatic tools to process and prioritise the data. From a protein function standpoint, transfer of annotation from known proteins to a novel target is currently the only practical way to convert vast quantities of raw sequence data into meaningful information. New bioinformatics tools now provide more sophisticated methods to transfer functional annotation, integrating sequence, family profile and structural search methodology. The importance of these approaches to medical research is increasing as we move to annotate the proteome through functional and structural genomic efforts.
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D023281:Genomics / Q000379:methods*; D006801:Humans; D015394:Molecular Structure; D020539:Sequence Analysis, Protein / Q000379:methods*