Glycosylphosphatidylinositol (GPI) lipid anchoring is a common posttranslational modification known mainly from extracellular eukaryotic proteins. Attachment of the GPI moiety to the carboxyl terminus (omega-site) of the polypeptide follows after proteolytic cleavage of a C-terminal propeptide. For the first time, a new prediction technique locating potential GPI-modification sites in precursor sequences has been applied for large-scale protein sequence database searches. The composite prediction function (with separate parametrisation for metazoan and protozoan proteins) consists of terms evaluating both amino acid type preferences at sequence positions near a supposed omega-site as well as the concordance with general physical properties encoded in multi-residue correlation within the motif sequence. The latter terms are especially successful in rejecting non-appropriate sequences from consideration. The algorithm has been validated with a self-consistency and two jack-knife tests for the learning set of fully annotated sequences from the SWISS-PROT database as well as with a newly created database "big-Pi" (more than 300 GPI-motif mutations extracted from original literature sources). The accuracy of predicting the effect of mutations in the GPI sequence motif was above 83 %. Lists of potential precursor proteins which are non-annotated in SWISS-PROT and SPTrEMBL are presented on the WWW-page http://www.embl-heidelberg.de/beisenha/gpi/gpi_p rediction. html The algorithm has been implemented in the prototype software "big-Pi predictor" which may find application as a genome annotation and target selection tool.

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.

Homology search techniques based on the iterative PSI-BLAST method in combination with various filters for low sequence complexity are applied to assign folds to all Mycoplasma genitalium proteins. The resulting procedure (implemented as a web server) is able to predict at least one domain in 37% of these proteins automatically, with an estimated accuracy higher than 98%. Taking structural features such as coiled coil or transmembrane regions aside, folds can be assigned to more than half of the globular proteins in a bacterium just by iterative sequence comparison.

The geometry of helix-helix packing in globular proteins is comprehensively analysed within the model of the superposition of two helix lattices which result from unrolling the helix cylinders onto a plane containing points representing each residue. The requirements for the helix geometry (the radius R, the twist angle omega and the rise per residue delta) under perfect match of the lattices are studied through a consistent mathematical model that allows consideration of all possible associations of all helix types (alpha-, pi- and 3(10)). The corresponding equations have three well-separated solutions for the interhelical packing angle, omega, as a function of the helix geometric parameters allowing optimal packing. The resulting functional relations also show unexpected behaviour. For a typically observed alpha-helix (omega = 99.1 degrees, delta = 1.45 A), the three optimal packing angles are omega a,b,c = -37.1 degrees, -97.4 degrees and +22.0 degrees with a periodicity of 180 degrees and respective helix radii Ra,b,c = 3.0 A, 3.5 A and 4.3 A. However, the resulting radii are very sensitive to variations in the twist angle omega. At omega triple = 96.9 degrees, all three solutions yield identical radii at delta = 1.45 A where Rtriple = 3.46 A. This radius is close to that of a poly(Ala) helix, indicating a great packing flexibility when alanine is involved in the packing core, and omega triple is close to the mean observed twist angle. In contrast, the variety of possible theoretical solutions is limited for the other two helix types. Besides the perfect matches, novel suboptimal "knobs into holes" hydrophobic packing patterns as a function of the helix radius are described. Alternative "knobs onto knobs" and mixed models can be applied in cases where salt bridges, hydrogen bonds, disulphide bonds and tight hydrophobic head-to-head contacts are involved in helix-helix associations. An analysis of the experimentally observed packings in proteins confirmed the conclusions of the theoretical model. Nonetheless, the observed alpha-helix packings showed deviations from the 180 degrees periodicity expected from the model. An investigation of the actual three-dimensional geometry of helix-helix packing revealed an explanation for the observed discrepancies where a decisive role was assigned to the defined orientation of the C alpha-C beta vectors of the side-chains. As predicted form the model, helices with different radii (differently sized side-chains in the packing core) were observed to utilize different packing cells (packing patterns). In agreement with the coincidence between Rtriple and the radius of a poly(Ala) helix, Ala was observed to show greatest propensity to build the packing core. The application of the helix lattice superposition model suggests that the packing of amino acid residues is best described by a "knobs into holes" scheme rather than "ridges into grooves". The various specific packing modes made salient by the model should be useful in protein engineering and design.