BOF: a novel family of bacterial OB-fold proteins

AbstractUsing top-of-the-line fold recognition methods, we assigned an oligonucleotide/oligosaccharide-binding (OB)-fold structure to a family of previously uncharacterized hypothetical proteins from several bacterial genomes. This novel family of bacterial OB-fold (BOF) proteins present in a number of pathogenic strains encompasses sequences of unknown function from DUF388 (in Pfam database) and COG3111. The BOF proteins can be linked evolutionarily to other members of the OB-fold nucleic acid-binding superfamily (anticodon-binding and single strand DNA-binding domains), although they probably lack nucleic acid-binding properties as implied by the analysis of the potential binding site. The presence of conserved N-terminal predicted signal peptide indicates that BOF family members localize in the periplasm where they may function to bind proteins, small molecules, or other typical OB-fold ligands. As hypothesized for the distantly related OB-fold containing bacterial enterotoxins, the loss of nucleotide-binding function and the rapid evolution of the BOF ligand-binding site may be associated with the presence of BOF proteins in mobile genetic elements and their potential role in bacterial pathogenicity

A comprehensive update of the sequence and structure classification of kinases

BACKGROUND: A comprehensive update of the classification of all available kinases was carried out. This survey presents a complete global picture of this large functional class of proteins and confirms the soundness of our initial kinase classification scheme. RESULTS: The new survey found the total number of kinase sequences in the protein database has increased more than three-fold (from 17,310 to 59,402), and the number of determined kinase structures increased two-fold (from 359 to 702) in the past three years. However, the framework of the original two-tier classification scheme (in families and fold groups) remains sufficient to describe all available kinases. Overall, the kinase sequences were classified into 25 families of homologous proteins, wherein 22 families (~98.8% of all sequences) for which three-dimensional structures are known fall into 10 fold groups. These fold groups not only include some of the most widely spread proteins folds, such as the Rossmann-like fold, ferredoxin-like fold, TIM-barrel fold, and antiparallel β-barrel fold, but also all major classes (all α, all β, α+β, α/β) of protein structures. Fold predictions are made for remaining kinase families without a close homolog with solved structure. We also highlight two novel kinase structural folds, riboflavin kinase and dihydroxyacetone kinase, which have recently been characterized. Two protein families previously annotated as kinases are removed from the classification based on new experimental data. CONCLUSION: Structural annotations of all kinase families are now revealed, including fold descriptions for all globular kinases, making this the first large functional class of proteins with a comprehensive structural annotation. Potential uses for this classification include deduction of protein function, structural fold, or enzymatic mechanism of poorly studied or newly discovered kinases based on proteins in the same family

PDB-UF: Database of Predicted Enzymatic Functions for Unannotated Protein Structures from Structural Genomics

The number of protein structures from structural genomics centers dramatically increases in the Protein Data Bank (PDB). Many of these structures are functionally unannotated because they have no sequence similarity to proteins of known function. However, it is possible to successfully infer function using only structural similarity. Here we present the PDB-UF database, a web-accessible collection of predictions of enzymatic properties using structure-function relationship. The assignments were conducted for three-dimensional protein structures of unknown function that come from structural genomics initiatives. We show that 4 hypothetical proteins (with PDB accession codes: 1VH0, 1NS5, 1O6D, and 1TO0), for which standard BLAST tools such as PSI-BLAST or RPS-BLAST failed to assign any function, are probably methyltransferase enzymes. We suggest that the structure-based prediction of an EC number should be conducted having the different similarity score cutoff for different protein folds. Moreover, performing the annotation using two different algorithms can reduce the rate of false positive assignments. We believe, that the presented web-based repository will help to decrease the number of protein structures that have functions marked as "unknown" in the PDB file.Chemistry and Chemical Biolog

A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome

Reverse transcriptase (RT) is a viral enzyme crucial for HIV-1 replication. Currently, 12 drugs are targeted against the RT. The low fidelity of the RT-mediated transcription leads to the quick accumulation of drug-resistance mutations. The sequence-resistance relationship remains only partially understood. Using publicly available data collected from over 15 years of HIV proteome research, we have created a general and predictive rule-based model of HIV-1 resistance to eight RT inhibitors. Our rough set-based model considers changes in the physicochemical properties of a mutated sequence as compared to the wild-type strain. Thanks to the application of the Monte Carlo feature selection method, the model takes into account only the properties that significantly contribute to the resistance phenomenon. The obtained results show that drug-resistance is determined in more complex way than believed. We confirmed the importance of many resistance-associated sites, found some sites to be less relevant than formerly postulated and—more importantly—identified several previously neglected sites as potentially relevant. By mapping some of the newly discovered sites on the 3D structure of the RT, we were able to suggest possible molecular-mechanisms of drug-resistance. Importantly, our model has the ability to generalize predictions to the previously unseen cases. The study is an example of how computational biology methods can increase our understanding of the HIV-1 resistome

Poly-saturated dolichols from filamentous fungi modulate activity of dolichol-dependent glycosyltransferase and physical properties of membranes

Mono-saturated polyprenols (dolichols) have been found in almost all Eukaryotic cells, however, dolichols containing additional saturated bonds at the ω-end, have been identified in A. fumigatus and A. niger. Here, we confirm, using an LC-ESI-QTOF-MS analysis that poly-saturated dolichols are abundant in other filamentous fungi, Trichoderma reesei, A. nidulans and Neurospora crassa, while the yeast Saccharomyces cerevisiae only contains the typical mono-saturated dolichols. We also show, using differential scanning calorimetry (DSC) and fluorescence anisotropy of 1,6-diphenyl-l,3,5-hexatriene (DPH) that the structure of dolichols modulates the properties of membranes and affects the functioning of dolichyl diphosphate mannose synthase (DPMS). The activity of this enzyme from T. reesei and S. cerevisiae was strongly affected by the structure of dolichols. Also the structure of phosphatidylcholine (PC) and phosphatidylethanolamine (PE) model membranes was more strongly disturbed by the poly-saturated dolichols from Trichoderma than by the mono-saturated dolichols from yeast. By comparing the lipidome of filamentous fungi with that from S. cerevisiae we revealed significant differences in the PC/PE ratio and fatty acids composition. Filamentous fungi differ from S. cerevisiae in the lipid composition of their membranes and the structure of dolichols. The structure of dolichols profoundly affects the functioning of dolichol-dependent enzyme, DPMS