3D-footprint provides estimates of binding specificity for all protein-DNA complexes available at the Protein Data Bank. The web interface allows the user to: (i) browse DNA-binding proteins by keyword; (ii) find proteins that recognize a similar DNA motif and (iii) BLAST similar DNA-binding proteins, highlighting interface residues in the resulting alignments. Comparisons with expert-curated databases RegulonDB and TRANSFAC support the quality of structure-based estimates of specificity.
This page contains various resources for comparative protein structure modelling and analysis from the Sali Lab at University of California at San Francisco (UCSF).
The Bioinformatics Resource for Oral Pathogens (BROP) contains tools for genomics of oral pathogens including Genome Viewer, GOAL (genome wide ORF alignment), an oral pathogen microarray database, an entrez counter, oral pathogen specific BLAST, and a codon usage database.
Computed Atlas of Surface Topography of proteins (CASTp) locates and measures concave surface regions on 3D protein structures. This tool can be used to study surface features, binding sites, and functional regions of proteins.
ComSin is a database of protein structures in bound (complex) and unbound (single) states. The developed server enables one to search for proteins in bound and unbound states with several options including sequence similarity between the corresponding proteins in bound and unbound states, and validation of interaction interfaces of protein complexes.
The ConSurf server allows one to map levels of amino acid conservation to known protein structures in order to study areas of potential functional importance on the surface of the protein. A PDB file is required as input, and a multiple sequence alignment is optional. If an alignment is not provided, ConSurf will build one by performing a search for homologous sequences and then aligning them.
ConSurf 2010 combines ConSurf and ConSeq for an easier, more intuitive interface.
The Dali server compares newly solved structures against structures in the PDB, allows browsing of pre-computed structural neighborhoods and generates suboptimal alignments from pairwise structure comparisons.
The Database of Interacting Proteins (DIP) allows users to search for interacting proteins. Results lists can be searched and/or visualized (statically or dynamically). Users can submit new protein-protein interactions and update database entries.
Effective is a database of predicted bacterial secreted proteins, implementing two complementary prediction strategies for protein secretion: the identification of eukaryotic-like protein domains and the recognition of signal peptides in amino acid sequences. The Effective web portal provides user-friendly tools for browsing and retrieving comprehensive precalculated predictions for whole bacterial genomes as well as for the interactive prediction of effectors in user-provided protein sequences.
fPOP (footprinting Pockets Of Proteins) is a relational database of the protein functional surfaces identified by analyzing the shapes of binding sites in approximately 42,700 structures, including both holo and apo forms. To identify protein binding sites, we model the shape of a split pocket induced by a binding ligand(s). This database provides an easily accessible resource for studying functional surfaces, assessing conformational changes between bound and unbound forms and analyzing functional divergence. The database facilitates the exploration of the physicochemical textures of molecules and the inference of protein function and provides a framework for classification of proteins into families on the basis of their functional surfaces.
The Genomic Disulfide Analysis Program (GDAP) predicts disulfide bonds for a user-supplied protein sequence. GDAP also provides access to pre-computed predictions of disulfide bonds for over 100 microbial genomes.
The Gene Context Tool (GeConT) is a visualization tool for viewing the genomic context of a gene or group of genes, and their orthologous relationships, within any of the fully sequenced bacterial genomes. Sequence retrieval is also possible.
Based on the comparison of profile HMMs, HHpred takes a protein sequence or multiple sequence alignment as input and searches for remote homologues in an assortment of databases such as PDB, SMART and Pfam. The user can select either a local or global alignment method, and the search results can be used to generate 3D structural models.