Search PubMed⌕ Search

Biomedical subjects

Anna Tramontano

Publications and source records attributed to Anna Tramontano.

13 recordsLinked to original sources

Relationship between multiple sequence alignments and quality of protein comparative models.

Comparative modeling is the method of choice, whenever applicable, for protein structure prediction, not only because of its higher accuracy compared to alternative methods, but also because it is possible to estimate a priori the quality of the models that it can produce, thereby allowing the usefulness of a model for a given application to be assessed beforehand. By and large, the quality of a comparative model depends on two factors: the extent of structural divergence between the target and the template and the quality of the sequence alignment between the two protein sequences. The latter is usually derived from a multiple sequence alignment (MSA) of as many proteins of the family as possible, and its accuracy depends on the number and similarity distribution of the sequences of the protein family. Here we describe a method to evaluate the expected difficulty, and by extension accuracy, of a comparative model on the basis of the MSA used to build it. The parameter that we derive is used to compare the results obtained in the last two editions of the Critical Assessment of Methods for Structure Prediction (CASP) experiment as a function of the difficulty of the modeling exercise. Our analysis demonstrates that the improvement in the scope and quality of comparative models between the two experiments is largely due to the increased number of available protein sequences and to the consequent increased chance that a large and appropriately spaced set of protein sequences homologous to the proteins of interest is available.

Amino Acid Sequence↗

Remarkably similar antigen receptors among a subset of patients with chronic lymphocytic leukemia.

Studies of B cell antigen receptors (BCRs) expressed by leukemic lymphocytes from patients with B cell chronic lymphocytic leukemia (B-CLL) suggest that B lymphocytes with some level of BCR structural restriction become transformed. While analyzing rearranged V(H)DJ(H) and V(L)J(L) genes of 25 non-IgM-producing B-CLL cases, we found five IgG(+) cases that display strikingly similar BCRs (use of the same H- and L-chain V gene segments with unique, shared heavy chain third complementarity-determining region [HCDR3] and light chain third complementarity-determining region [LCDR3] motifs). These H- and L-chain characteristics were not identified in other B-CLL cases or in normal B lymphocytes whose sequences are available in the public databases. Three-dimensional modeling studies suggest that these BCRs could bind the same antigenic epitope. The structural features of the B-CLL BCRs resemble those of mAb's reactive with carbohydrate determinants of bacterial capsules or viral coats and with certain autoantigens. These findings suggest that the B lymphocytes that gave rise to these IgG(+) B-CLL cells were selected for this unique BCR structure. This selection could have occurred because the precursors of the B-CLL cells were chosen for their antigen-binding capabilities by antigen(s) of restricted nature and structure, or because the precursors derived from a B cell subpopulation with limited BCR heterogeneity, or both.

B-Lymphocytes↗

Exploiting evolutionary relationships for predicting protein structures.

In the last few years there have been many developments in computational biology, particularly with regard to novel, imaginative exploitation of genomic data. Disappointingly, there has been a lack of progress in the methodology for prediction of protein structures. In the last several years, however, promising new methods have finally begun to emerge. These methods are increasing the power and scope of the methodology, but, most importantly, they are generating new areas of investigation that we believe will accelerate progress in the field. In this review we describe recent developments and highlight the implications of their success as well as areas where efforts should be focused.

Amino Acid Sequence↗

Engineering stable cytoplasmic intrabodies with designed specificity.

Many attempts have been made to develop antibody fragments that can be expressed in the cytoplasm ("intrabodies") in a stable and functional form. The recombinant antibody fragment scFv(F8) is characterised by peculiarly high in vitro stability and functional folding in both prokaryotic and eukaryotic cytoplasm. To dissect the relative contribution of different scFv(F8) regions to cytoplasmic stability and specificity we designed and constructed five chimeric molecules (scFv-P1 to P5) in which several groups of residues important for antigen binding in the poorly stable anti-hen egg lysozyme (HEL) scFv(D1.3) were progressively grafted onto the scFv(F8) scaffold. All five chimeric scFvs were expressed in a soluble form in the periplasm and cytoplasm of Escherichia coli. All the periplasmic oxidised forms and the scFv(P3) extracted from the cytoplasm in reducing conditions had HEL binding affinities essentially identical (K(d)=15nM) to that of the cognate scFv(D1.3) fragment (K(d)=16nM). The successful grafting of the antigen binding properties of D1.3 onto the scFv(F8) opens the road to the exploitation of this molecule as a scaffold for the reshaping of intrabodies with desired specificities to be targeted to the cytoplasm.

Amino Acid Sequence↗

Exploring the cytochrome c folding mechanism: cytochrome c552 from thermus thermophilus folds through an on-pathway intermediate.

Understanding the role of partially folded intermediate states in the folding mechanism of a protein is a crucial yet very difficult problem. We exploited a kinetic approach to demonstrate that a transient intermediate of a thermostable member of the widely studied cytochrome c family (cytochrome c552 from Thermus thermophilus) is indeed on-pathway. This is the first clear indication of an obligatory intermediate in the folding mechanism of a cytochrome c. The fluorescence properties of this intermediate demonstrate that the relative position of the heme and of the only tryptophan residue cannot correspond to their native orientation. Based on an analysis of the three-dimensional structure of cytochrome c552, we propose an interpretation of the data which explains the residual fluorescence of the intermediate and is consistent with the established role played by some conserved interhelical interactions in the folding of other members of this family. A limited set of topologically conserved contacts may guide the folding of evolutionary distant cytochromes c through the same partially structured state, which, however, can play different kinetic roles, acting either as an intermediate or a transition state.

Cytochrome c Group↗

Evaluation of annotation strategies using an entire genome sequence.

MOTIVATION: Genome-wide functional annotation either by manual or automatic means has raised considerable concerns regarding the accuracy of assignments and the reproducibility of methodologies. In addition, a performance evaluation of automated systems that attempt to tackle sequence analyses rapidly and reproducibly is generally missing. In order to quantify the accuracy and reproducibility of function assignments on a genome-wide scale, we have re-annotated the entire genome sequence of Chlamydia trachomatis (serovar D), in a collaborative manner. RESULTS: We have encoded all annotations in a structured format to allow further comparison and data exchange and have used a scale that records the different levels of potential annotation errors according to their propensity to propagate in the database due to transitive function assignments. We conclude that genome annotation may entail a considerable amount of errors, ranging from simple typographical errors to complex sequence analysis problems. The most surprising result of this comparative study is that automatic systems might perform as well as the teams of experts annotating genome sequences.

Amino Acid Sequence↗

Assessment of homology-based predictions in CASP5.

This report describes the assessment of the homology-based predictions submitted to the fifth edition of the Critical Assessment of Methods for Protein Structure Prediction (CASP5) experiment. We assessed the ability of the methods to predict the overall fold, the portions of the structure that differ substantially between the target protein and its closest structural homologue and the conformation of the side-chains. We also compared the results with those obtained in previous editions of the experiment and derived some general conclusions about the state of the art of comparative modeling methods and their usefulness for experimentalists.

Computational Biology↗

Evolution of bacterial and archaeal multicomponent monooxygenases.

We report the results of a comparative analysis of the sequences of multicomponent monooxygenases, a family of enzymes of great interest for bioremediation of contaminated soil. We show that their function, in terms of substrate specificity, can be deduced from their subunit organization and composition, that rearrangements of subunits as well as recruitments of new ones can be used to explain their different properties and functionalities, and that the observed pattern can be rationalized invoking a number of evolutionary events, including horizontal gene transfer. Our analysis highlights the plasticity and modularity of this family of enzymes, which might very well be the reason underlying the extremely rapid emergence of new bacterial strains able to grow on contaminated soils.

Archaea↗

Binding of the hepatitis C virus E2 glycoprotein to CD81 is strain specific and is modulated by a complex interplay between hypervariable regions 1 and 2.

The envelope glycoprotein E2 of hepatitis C virus (HCV) is the target of neutralizing antibodies and is presently being evaluated as an HCV vaccine candidate. HCV binds to human cells through the interaction of E2 with the tetraspanin CD81, a putative viral receptor component. We have analyzed four different E2 proteins from 1a and 1b viral isolates for their ability to bind to recombinant CD81 in vitro and to the native receptor displayed on the surface of Molt-4 cells. A substantial difference in binding efficiency between these E2 variants was observed, with proteins derived from 1b subtypes showing significantly lower binding than the 1a protein. To elucidate the mechanism of E2-CD81 interaction and to identify critical regions responsible for the different binding efficiencies of the E2 variants, several mutants were generated in E2 protein regions predicted by computer modeling to be exposed on the protein surface. Functional analysis of these E2 derivatives revealed that at least two distinct domains are responsible for interaction with CD81. A first segment centered around amino acid residues 613 to 618 is essential for recognition, while a second element including the two hypervariable regions (HVRs) modulates E2 receptor binding. Binding inhibition experiments with anti-HVR monoclonal antibodies confirmed this mapping and supported the hypothesis that a complex interplay between the two HVRs of E2 is responsible for modulating receptor binding, possibly through intramolecular interactions. Finally, E2 proteins from different isolates displayed a profile of binding to human hepatic cells different from that observed on Molt-4 cells or isolated recombinant CD81, indicating that additional factors are involved in viral recognition by target liver cells.

Amino Acid Sequence↗

Classification of proteins based on the properties of the ligand-binding site: the case of adenine-binding proteins.

Comparative analysis of protein binding sites for similar ligands yields information about conserved interactions, relevant for ligand affinity, and variable interactions, which are important for specificity. The pattern of variability can indicate new targets for a pharmacologically validated class of compounds binding to a similar site. A particularly vast group of therapeutically interesting proteins using the same or similar substrates are those that bind adenine-containing ligands. Drug development is focusing on compounds occupying the adenine-binding site and their specificity is an issue of paramount importance. We use a simple scheme to characterize and classify the adenine-binding sites in terms of their intermolecular interactions, and show that this classification does not necessarily correspond to protein classifications based on either sequence or structural similarity. We find that only a limited number of the different hydrogen bond patterns possible for adenine-binding is used, which can be utilized as an effective classification scheme. Closely related protein families usually share similar hydrogen patterns, whereas non-polar interactions are less well conserved. Our classification scheme can be used to select groups of proteins with a similar ligand-binding site, thus facilitating the definition of the properties that can be exploited to design specific inhibitors.

Adenine↗