Predicting function from sequence using computational tools is a highl
y complicated procedure that is generally done for each gene individua
lly. This review focuses on the added value that is provided by comple
tely sequenced genomes in function prediction. Various levels of seque
nce annotation and function prediction are discussed, ranging from gen
omic 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 e
xpression, metabolic pathways and signalling cascades. The analysis of
such higher levels of function description uses, besides the informat
ion from completely sequenced genomes, also the additional information
from proteomics and expression data. The final goal will be to elucid
ate the mapping between genotype and phenotype. (C) 1998 Academic Pres
s.