ABSTRACT
Rational classification of proteins encoded in sequenced genomes is critical for making the genome sequences maximally useful for functional and evolutionary studies. The family of DNA-binding proteins is one of the most populated and studied amongst the various genomes of bacteria, archaea and eukaryotes and the Web-based system presented here is an approach to their classification. The DnaProt resource is an annotated and searchable collection of protein sequences for the families of DNA-binding proteins. The database contains 3238 full-length sequences (retrieved from the SWISS-PROT database, release 38) that include, at least, a DNA-binding domain. Sequence entries are organized into families defined by PROSITE patterns, PRINTS motifs and de novo excised signatures. Combining global similarities and functional motifs into a single classification scheme, DNA-binding proteins are classified into 33 unique classes, which helps to reveal comprehensive family relationships. To maximize family information retrieval, DnaProt contains a collection of multiple alignments for each DNA-binding family while the recognized motifs can be used as diagnostically functional fingerprints. All available structural class representatives have been referenced. The resource was developed as a Web-based management system for online free access of customized data sets. Entries are fully hyperlinked to facilitate easy retrieval of the original records from the source databases while functional and phylogenetic annotation will be applied to newly sequenced genomes. The database is freely available for online search of a library containing specific patterns of the identified DNA-binding protein classes and retrieval of individual entries from our WWW server (http://kronos.biol.uoa.gr/~mariak/dbDNA.html).
Subject(s)
DNA-Binding Proteins/chemistry , DNA-Binding Proteins/classification , Amino Acid Motifs , Amino Acid Sequence , Animals , Binding Sites , Databases, Factual , Evolution, Molecular , Genome, Archaeal , Genome, Bacterial , Genomic Library , Humans , Internet , Peptide Mapping , Phylogeny , Sequence Alignment , Sequence Analysis, Protein , T-Box Domain Proteins/chemistry , Transcription Factors/chemistryABSTRACT
BACKGROUND: The recent rapid increase in the number of available three-dimensional protein structures has further highlighted the necessity to understand the relationship between biological function and structure. Using structural classification schemes such as SCOP, CATH and DALI, it is now possible to explore global relationships between protein fold and function, something which was previously impractical. RESULTS: Using a relational database of CATH data we have generated fold distributions for arbitrary selections of proteins automatically. These distributions have been examined in the light of protein function and bound ligand. Different enzyme classes are not clearly reflected in distributions of protein class and architecture, whereas the type of bound ligand has a much more dramatic effect. CONCLUSIONS: The availability of structural classification data has enabled this novel overview analysis. We conclude that function at the top level of the EC number enzyme classification is not related to fold, as only a very few specific residues are actually responsible for enzyme activity. Conversely, the fold is much more closely related to ligand type.
Subject(s)
Models, Theoretical , Protein Folding , Proteins/classification , Proteins/metabolism , Binding Sites , Carbohydrate Metabolism , Carbohydrates/chemistry , DNA/metabolism , DNA-Binding Proteins/chemistry , DNA-Binding Proteins/classification , DNA-Binding Proteins/metabolism , Enzymes/chemistry , Enzymes/metabolism , Heme/chemistry , Heme/metabolism , Models, Molecular , Nucleotides/metabolism , Protein Conformation , Proteins/chemistry , Software , Structure-Activity RelationshipABSTRACT
The determination of protein structures has furthered our understanding of how various proteins perform their functions. With the large number of structures currently available in the PDB, it is necessary to be able to easily study these proteins in detail. Here new software tools are presented which aim to facilitate this analysis; these include the PDBsum WWW site which provides a summary description of all PDB entries, the programs TOPS and NUCPLOT to plot schematic diagrams representing protein topology and DNA-binding interactions, SAS a WWW-based sequence-analysis tool incorporating structural data, and WWW servers for the analysis of protein-protein interfaces and analyses of over 300 haem-binding proteins.
