Search

Predicting function from sequence using computational tools is a highly complicated procedure that is generally done for each gene individually. This review focuses on the added value that is provided by completely sequenced genomes in function prediction. Various levels of sequence annotation and function prediction are discussed, ranging from genomic sequence to that of complex cellular processes. Protein function is currently best described in the context of molecular interactions. In the near future it will be possible to predict protein function in the context of higher order processes such as the regulation of gene expression, metabolic pathways and signalling cascades. The analysis of such higher levels of function description uses, besides the information from completely sequenced genomes, also the additional information from proteomics and expression data. The final goal will be to elucidate the mapping between genotype and phenotype., (Copyright 1998 Academic Press.)

The availability of specialized sequence databanks for Escherichia coli, Saccharomyces cerevisiae and Bacillus subtilis made it possible to build a set of 105 protein-coding genes that are homologous in these three species. An analysis of the triplets at both the nucleotide and amino acid level revealed that the codon bias of some amino acids are significantly higher at conserved rather than at non-conserved positions. Comparisons of homologous genes in E. coli and Salmonella typhimurium, and in S. cerevisiae and Drosophila melanogaster, led to the same conclusion. A special case was made for serine in E. coli, whose major codon is AGC for non-conserved and TCC for conserved residues. We interpret this observation as evidence that the primordial codons for serine were TCN, while codons AGY appeared later. This conclusion is substantiated by an analysis of the codon usage of catalytic serine residues in ancient, ubiquitous and essential proteins (ATP synthases and topoisomerases). It is shown that in these proteins the proportion of the catalytic serine residues coded by TCN is significantly higher than the one expected from the overall codon usage of serine residues.