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Gregorio Fernandez-Ballester

Publications and source records attributed to Gregorio Fernandez-Ballester.

7 recordsLinked to original sources

Computer modelling in combination with in vitro studies reveals similar binding affinities of Drosophila Crumbs for the PDZ domains of Stardust and DmPar-6.

Formation of multiprotein complexes is a common theme to pattern a cell, thereby generating spatially and functionally distinct entities at specialised regions. Central components of these complexes are scaffold proteins, which contain several protein-protein interaction domains and provide a platform to recruit a variety of additional components. There is increasing evidence that protein complexes are dynamic structures and that their components can undergo various interactions depending on the cellular context. However, little is known so far about the factors regulating this behaviour. One evolutionarily conserved protein complex, which can be found both in Drosophila and mammalian epithelial cells, is composed of the transmembrane protein Crumbs/Crb3 and the scaffolding proteins Stardust/Pals1 and DPATJ/PATJ, respectively, and localises apically to the zonula adherens. Here we show by in vitro analysis that, similar as in vertebrates, the single PDZ domain of Drosophila DmPar-6 can bind to the four C-terminal amino acids (ERLI) of the transmembrane protein Crumbs. To further evaluate the binding capability of Crumbs to DmPar-6 and the MAGUK protein Stardust, analysis of the PDZ structural database and modelling of the interactions between the C-terminus of Crumbs and the PDZ domains of these two proteins were performed. The results suggest that both PDZ domains bind Crumbs with similar affinities. These data are supported by quantitative yeast two-hybrid interactions. In vivo analysis performed in cell cultures and in the Drosophila embryo show that the cytoplasmic domain of Crumbs can recruit DmPar-6 and DaPKC to the plasma membrane. The data presented here are discussed with respect to possible dynamic interactions between these proteins.

Animals↗

New approaches to high-throughput structure characterization of SH3 complexes: the example of Myosin-3 and Myosin-5 SH3 domains from S. cerevisiae.

SH3 domains are small protein modules that are involved in protein-protein interactions in several essential metabolic pathways. The availability of the complete genome and the limited number of clearly identifiable SH3 domains make the yeast Saccharomyces cerevisae an ideal proteomic-based model system to investigate the structural rules dictating the SH3-mediated protein interactions and to develop new tools to assist these studies. In the present work, we have determined the solution structure of the SH3 domain from Myo3 and modeled by homology that of the highly homologous Myo5, two myosins implicated in actin polymerization. We have then implemented an integrated approach that makes use of experimental and computational methods to characterize their binding properties. While accommodating their targets in the classical groove, the two domains have selectivity in both orientation and sequence specificity of the target peptides. From our study, we propose a consensus sequence that may provide a useful guideline to identify new natural partners and suggest a strategy of more general applicability that may be of use in other structural proteomic studies.

Binding Sites↗

Prediction of protein-protein interaction based on structure.

A great challenge in the proteomics and structural genomics era is to predict protein structure and function from sequence, including the identification of biological partners. The development of a procedure to construct position-specific scoring matrices for the prediction and identification of sequences with putative significant affinity faces this challenge. The local and web applications used for sequence and structure search, sequence alignment, protein modeling, molecule edition and modification, and scoring matrices construction are described in detail. The methodology is based on the information contained in structural databases and takes into account the subtle conformational and sequence details that characterize different structures within a family. Using the matrices, the protein sequence databases can be easily scanned to locate putative partners of biological significance. The success of this methodology opens the way for the prediction of protein-protein interaction at genome scale.

Algorithms↗

Molecular compatibility of the channel gate and the N terminus of S5 segment for voltage-gated channel activity.

Voltage-gated ion channels are modular proteins designed by the structural linkage of a voltage sensor and a pore domain. The functional coupling of these two protein modules is a subject of intense research. A major focus has been directed to decipher the role of the S4-S5 linker and the C-end of the inner pore helix in channel gating. However, the contribution of the cytosolic N terminus of S5 remains elusive. To address this issue, we used a chimeric subunit that linked the voltage sensor of the Shaker channel to the prokaryotic KcsA pore domain (denoted as Shaker-KcsA). This chimera preserved the Shaker sequences at both the N terminus of S5 and the C-end of S6. Chimeric Shaker-KcsA subunits did not form functional homomeric channels but were synthesized, folded, and trafficked to the cell surface, as evidenced by their co-assembly with Shaker wild type subunits. Sequential substitution of Shaker amino acids at the C-end of S6 and the N terminus of S5 by the corresponding KcsA created voltage-sensitive channels with voltage-dependent properties that asymptotically approached those of the wild type Shaker channel. Noteworthy, substitution of the region encompassing Phe(401)-Phe(404) at the N-end of Shaker S5 by KcsA residues resulted in a significant gain in voltage sensitivity of the chimeras. Furthermore, analysis of channel function at high [K(+)](o) revealed that the Phe(401)-Phe(404) region is an important molecular determinant for competent coupling of voltage sensing and pore opening. Taken together, these findings indicate that complete replacement of Shaker S5 and S6 by KcsA M1 and M2 is required for voltage-dependent gating of the prokaryotic channel. In addition, our results imply that the region encompassing Phe(401)-Phe(404) in Shaker is involved in protein-protein interactions with the voltage sensor, and signal to the Phe(401) in the S5 segment as a key molecular determinant to pair the voltage sensor and the pore domain.

Amino Acid Sequence↗

Stabilization of TRAIL, an all-beta-sheet multimeric protein, using computational redesign.

Protein thermal stability is important for therapeutic proteins, both influencing the pharmacokinetic and pharmacodynamic properties and for stability during production and shelf-life of the final product. In this paper we show the redesign of a therapeutically interesting trimeric all-beta-sheet protein, the cytokine TRAIL (tumor necrosis factor-related apoptosis-inducing ligand), yielding variants with improved thermal stability. A combination of tumor necrosis factor (TNF) ligand family alignment information and the computational design algorithm PERLA was used to propose several mutants with improved thermal stability. The design was focused on non-conserved residues only, thus reducing the use of computational resources. Several of the proposed mutants showed a significant increase in thermal stability as experimentally monitored by far-UV circular dichroism thermal denaturation. Stabilization of the biologically active trimer was achieved by monomer subunit or monomer-monomer interface modifications. A double mutant showed an increase in apparent T(m) of 8 degrees C in comparison with wild-type TRAIL and remained biologically active after incubation at 73 degrees C for 1 h. To our knowledge, this is the first study that improves the stability of a large multimeric beta-sheet protein structure by computational redesign. A similar approach can be used to alter the characteristics of other multimeric proteins, including other TNF ligand family members.

Algorithms↗

The tryptophan switch: changing ligand-binding specificity from type I to type II in SH3 domains.

The ability of certain Src homology 3 (SH3) domains to bind specifically both type I and type II polyproline ligands is perhaps the best characterized, but also the worst understood, example in the family of protein-interaction modules. A detailed analysis of the structural variations in SH3 domains, with respect to ligand-binding specificity, together with mutagenesis of SH3 Fyn tyrosine kinase, reveal the structural basis for types I and II binding specificity by SH3 domains. The conserved Trp in the SH3 binding pocket can adopt two different orientations that, in turn, determine the type of ligand (I or II) able to bind to the domain. The only exceptions are ligands with Leu at positions P(-1) and P(2), that deviate from standard poly-Pro angles. The motion of the conserved Trp depends on the presence of certain residues located in a key position (132 for Fyn), near the binding pocket. SH3 domains placing aromatic residues in this key position are promiscuous. By contrast, those presenting beta-branched or long aliphatic residues block the conserved Trp in one of the two possible orientations, preventing binding in a type I orientation. This is experimentally demonstrated by a single mutation in Fyn SH3 (Y132I) that abolishes type I ligand binding, while preserving binding to type II ligands. Thus, simple conformational changes, governed by simple rules, can have profound effects on protein-protein interactions, highlighting the importance of structural details to predict protein-protein interactions.

Amino Acid Sequence↗

Computer-aided design of a PDZ domain to recognize new target sequences.

PDZ domains are small globular domains that recognize the last 4-7 amino acids at the C-terminus of target proteins. The specificity of the PDZ-ligand recognition is due to side chain-side chain interactions, as well as the positioning of an alpha-helix involved in ligand binding. We have used computer-aided protein design to produce mutant versions of a Class I PDZ domain that bind to novel Class I and Class II target sequences both in vitro and in vivo, thus providing an alternative to primary antibodies in western blotting, affinity chromatography and pull-down experiments. Our results suggest that by combining different backbone templates with computer-aided protein design, PDZ domains could be engineered to specifically recognize a large number of proteins.

Algorithms↗