Biomedical subjects

Bruno Contreras-Moreira

Publications and source records attributed to Bruno Contreras-Moreira.

8 recordsLinked to original sources

PubMed2006

Comparative footprinting of DNA-binding proteins.

MOTIVATION: Comparative modelling is a computational method used to tackle a variety of problems in molecular biology and biotechnology. Traditionally it has been applied to model the structure of proteins on their own or bound to small ligands, although more recently it has also been used to model protein-protein interfaces. This work is the first to systematically analyze whether comparative models of protein-DNA complexes could be built and be useful for predicting DNA binding sites. RESULTS: First, we describe the structural and evolutionary conservation of protein-DNA interfaces, and the limits they impose on modelling accuracy. Second, we find that side-chains from contacting residues can be reasonably modeled and therefore used to identify contacting nucleotides. Third, the DNASITE protocol is implemented and different parameters are benchmarked on a set of 85 regulators from Escherichia coli. Results show that comparative footprinting can make useful predictions based solely on structural data, depending primarily on the interface identity with respect to the template used. AVAILABILITY: DNASITE code available on request from the authors.

Algorithms↗

PubMed2003

Structural context of exons in protein domains: implications for protein modelling and design.

Intron boundaries were extracted from genomic data and mapped onto single-domain human and murine protein structures taken from the Protein Data Bank. A first analysis of this set of proteins shows that intron boundaries prefer to be in non-regular secondary structure elements, while avoiding alpha-helices and beta-strands. This fact alone suggests an evolutionary model in which introns are constrained by protein structure, particularly by tertiary structure contacts. In addition, in silico recombination experiments of a subset of these proteins together with their homologues, including those in different species, show that introns have a tendency to occur away from artificial crossover hot spots. Altogether, these findings support a model in which genes can preferentially harbour introns in less constrained regions of the protein fold they code for. In the light of these findings, we discuss some implications for protein modelling and design.

Animals↗

PubMed2003

Functional recycling of C2 domains throughout evolution: a comparative study of synaptotagmin, protein kinase C and phospholipase C by sequence, structural and modelling approaches.

The C2 domain is one of the most frequent and widely distributed calcium-binding motifs. Its structure comprises an eight-stranded beta-sandwich with two structural types as if the result of a circular permutation. Combining sequence, structural and modelling information, we have explored, at different levels of granularity, the functional characteristics of several families of C2 domains. At the coarsest level, the similarity correlates with key structural determinants of the C2 domain fold and, at the finest level, with the domain architecture of the proteins containing them, highlighting the functional diversity between the various sub-families. The functional diversity appears as different conserved surface patches throughout this common fold. In some cases, these patches are related to substrate-binding sites whereas in others they correspond to interfaces of presumably permanent interaction between other domains within the same polypeptide chain. For those related to substrate-binding sites, the predictions overlap with biochemical data in addition to providing some novel observations. For those acting as protein-protein interfaces, our modelling analysis suggests that slight variations between families are a result of not only complementary adaptations in the interfaces involved but also different domain architecture. In the light of the sequence and structural genomic projects, the work presented here shows that modelling approaches along with careful sub-typing of protein families will be a powerful combination for a broader coverage in proteomics.

Amino Acid Sequence↗

PubMed2003

In silico protein recombination: enhancing template and sequence alignment selection for comparative protein modelling.

Comparative modelling of proteins is a predictive technique to build an atomic model for a given amino acid sequence, on the basis of the structures of other proteins (templates) that have been determined experimentally. Critical problems arise in this procedure: selecting the correct templates, aligning the query sequence with them and building the non-conserved surface loops. In this work, we apply a genetic algorithm, with crossover and mutation, as a new tool to overcome the first two. In silico protein recombination proves to be an effective way to exploit the variability of templates and sequence alignments to produce populations of optimized models by artificial selection. Despite some limitations, the procedure is shown to be robust to alignment errors, while simplifying the task of selecting templates, making it a good candidate for automatic building of reliable protein models.

Algorithms↗

PubMed2003

Novel use of a genetic algorithm for protein structure prediction: searching template and sequence alignment space.

A novel genetic algorithm was applied to all CASP5 targets. The algorithm simultaneously searches template and alignment space. Results show that the current implementation of the method is perhaps most useful in recognizing and refining remote homology targets. This new method is briefly described and results are analyzed. Strengths and weaknesses of the current implementation of the algorithm are discussed.

Algorithms↗

PubMed2003

OPCML at 11q25 is epigenetically inactivated and has tumor-suppressor function in epithelial ovarian cancer.

Epithelial ovarian cancer (EOC), the leading cause of death from gynecological malignancy, is a poorly understood disease. The typically advanced presentation of EOC with loco-regional dissemination in the peritoneal cavity and the rare incidence of visceral metastases are hallmarks of the disease. These features relate to the biology of the disease, which is a principal determinant of outcome. EOC arises as a result of genetic alterations sustained by the ovarian surface epithelium (OSE; ref. 3). The causes of these changes are unknown but are manifest by activation of oncogenes and inactivation of tumor-suppressor genes (TSGs). Our analysis of loss of heterozygosity at 11q25 identified OPCML (also called OBCAM), a member of the IgLON family of immunoglobulin (Ig) domain-containing glycosylphosphatidylinositol (GPI)-anchored cell adhesion molecules, as a candidate TSG in EOC. OPCML is frequently somatically inactivated in EOC by allele loss and by CpG island methylation. OPCML has functional characteristics consistent with TSG properties both in vitro and in vivo. A somatic missense mutation from an individual with EOC shows clear evidence of loss of function. These findings suggest that OPCML is an excellent candidate for the 11q25 ovarian cancer TSG. This is the first description to our knowledge of the involvement of the IgLON family in cancer.

Animals↗

PubMed2002

Comparative modelling: an essential methodology for protein structure prediction in the post-genomic era.

The gap between the number of protein sequences and protein structures is increasing rapidly, exacerbated by the completion of numerous genome projects now flooding into public databases. To fill this gap, comparative protein modelling is widely considered the most accurate technique for predicting the three-dimensional shape of proteins. High-throughput, automatic protein modelling should considerably increase our access to protein structures other than those determined by experimental techniques such as X-ray crystallography and NMR (nuclear magnetic resonance) spectroscopy. The uses for these complete three-dimensional models are growing rapidly, ranging from guiding site-directed mutagenesis experiments to protein-protein interaction predictions. In recognition of this, a number of very useful comparative modelling servers have begun to emerge on the Web. Molecular biologists now have a powerful web-based toolkit to construct models, assess their accuracy, and use them to explain and predict experiments. There is, however, still much to do by those engaged in algorithmic development if comparative modelling is to compete on an equal footing with experimental protein structure determination techniques.

Computational Biology↗

PubMedDate not supplied

A link between sequence conservation and domain motion within the AAA+ family.

The AAA+ family of proteins play fundamental roles in all three kingdoms of life. It is thought that they act as molecular chaperones in aiding the assembly or disassembly of proteins or protein complexes. Recent structural studies on a number of AAA+ family proteins have revealed that they share similar structural elements. These structures provide a possible link between nucleotide binding/hydrolysis and the conformational changes which are then amplified to generate mechanical forces for their specific functions. However, from these individual studies it is far from clear whether AAA+ proteins in general share properties in terms of nucleotide induced conformational changes. In this study, we analyze sequence conservation within the AAA+ family and identify two subfamilies, each with a distinct conserved linker sequence that may transfer conformational changes upon ATP binding/release to movements between subdomains and attached domains. To investigate the relation of these linker sequences to conformational changes, molecular dynamics (MD) simulations on X-ray structures of AAA+ proteins from each subfamily have been performed. These simulations show differences in both the N-linker peptide, subdomain motion, and cooperativity between elements of quaternary structure. Extrapolation of subdomain movements from one MD simulation enables us to produce a structure in close agreement with cryo-EM experiments.

Adenosine Triphosphatases↗