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Biomedical subjects

Alfonso Valencia

Publications and source records attributed to Alfonso Valencia.

At least 73 records · Page 4Linked to original sources
PubMed2003

POTRA: a conserved domain in the FtsQ family and a class of beta-barrel outer membrane proteins.

POTRA (for polypeptide-transport-associated domain) is a novel domain identified in proteins of the ShlB, Toc75, D15 and FtsQ/DivIB families. In most cases, the POTRA domain is associated with a beta-barrel outer membrane domain and its function has been experimentally related to polypeptide transport in Toc75 (Tic-Toc protein import system in chloroplast) and ShlB families. In addition to potential key roles in protein transport across the outer membrane and in bacterial septation, the POTRA domain has attractive features for vaccine development in diseases such as cholera, meningitis, gonorrhoea and syphilis.

Amino Acid Motifs↗
PubMed2003

Life cycles of successful genes.

By exploring time-series data from MEDLINE abstracts, we observe that only a few genes have been quoted with increasing frequency during the past 25 years. This is probably the result of selective pressure by the scientific community. Over the years, this selection has produced an extreme power law distribution of the information available for individual genes. Interestingly, those genes that are successfully selected are not necessarily the most important genes to the cell. To stress the implication of this finding we show that there is no correlation between a gene's impact in the scientific literature and its centrality in protein-interaction networks.

Cell Cycle↗
PubMed2003

The single tryptophan of the PsbQ protein of photosystem II is at the end of a 4-alpha-helical bundle domain.

We examined the microenvironment of the single tryptophan and the tyrosine residues of PsbQ, one of the three main extrinsic proteins of green algal and higher plant photosystem II. On the basis of this information and the previous data on secondary structure [Balsera, M., Arellano, J.B., Gutiérrez, J.R., Heredia, P., Revuelta, J.L. & De Las Rivas, J. (2003) Biochemistry42, 1000-1007], we screened structural models derived by combining various threading approaches. Experimental results showed that the tryptophan residue is partially buried in the core of the protein but still in a polar environment, according to the intrinsic fluorescence emission of PsbQ and the fact that fluorescence quenching by iodide was weaker than that by acrylamide. Furthermore, quenching by cesium suggested that a positively charged barrier shields the tryptophan microenvironment. Comparison of the absorption spectra in native and denaturing conditions indicated that one or two out of six tyrosines of PsbQ are buried in the core of the structure. Using threading methods, a 3D structural model was built for the C-terminal domain of the PsbQ protein family (residues 46-149), while the N-terminal domain is predicted to have a flexible structure. The model for the C-terminal domain is based on the 3D structure of cytochrome b562, a mainly alpha-protein with a helical up/down bundle folding. Despite the large sequence differences between the template and PsbQ, the structural and energetic parameters for the explicit model are acceptable, as judged by the corresponding tools. This 3D model is compatible with the experimentally determined environment of the tryptophan residue and with published structural information. The future experimental determination of the 3D structure of the protein will offer a good validation point for our model and the technology used. Until then, the model can provide a starting point for further studies on the function of PsbQ.

Acrylamide↗
PubMed2003

Involvement of intramolecular interactions in the regulation of G protein-coupled receptor kinase 2.

The G protein-coupled receptor (GPCR) kinase GRK2 phosphorylates G protein-coupled receptors in an agonist-dependent manner. GRK2 activity is modulated through interactions of diverse domains of the kinase with G protein betagamma subunits, several lipids, anchoring proteins, and activated receptors. We report that kinase activity toward either GPCR (rhodopsin) or a synthetic peptide substrate is enhanced in the presence of GST-GRK2 fusion proteins or peptides corresponding to either N- or C-terminal sequences of GRK2. This direct stimulatory action of intrinsic domains on GRK2 activity does not add to the effect of other regulators, such as Gbetagamma subunits, and strongly suggests the existence of some mode of autoregulation. The existence of regulatory intramolecular interactions in GRK2 is supported by the facts that a C-terminal peptide protects the N-terminal region from proteolytic cleavage and that two domains of GRK2 independently coexpressed in cells associate as assessed by immunoprecipitation. Molecular modeling suggests that intramolecular interactions among the N-terminal, C-terminal and kinase domains would keep GRK2 in a constrained conformation characteristic of an inactive, basal state. Our model proposes that disruption of such intramolecular contacts by intermolecular interactions with regulatory proteins (mimicked by exogenously added kinase fragments in vitro) would promote the conformational changes required to bring about GRK2 translocation and activation.

Animals↗
PubMed2003

Beta-propellers: associated functions and their role in human diseases.

The beta-propeller fold appears as a very fascinating architecture based on four-stranded antiparallel and twisted beta-sheets, radially arranged around a central tunnel. Similar to the alpha/beta-barrel (TIM-barrel) fold, the beta-propeller has a wide range of different functions, and is gaining substantial attention. Some proteins containing beta-propeller domains have been implicated in the pathogenesis of a variety of diseases such as cancer, Alzheimer, Huntington, arthritis, familial hypercholesterolemia, retinitis pigmentosa, osteogenesis, hypertension, and microbial and viral infections. This article reviews some aspects of 3D structure, amino acids sequence regularities, and biological functions of the proteins containing beta-propeller domains. Major emphasis has been laid on beta-propellers whose functions are associated to human diseases. Recent research efforts reported in the fields of protein engineering, drug design, and protein structure-function relationship studies, concerning the beta-propeller architecture, have also been discussed.

Disease↗
PubMed2002

Identification of conserved amino acid residues in rat liver carnitine palmitoyltransferase I critical for malonyl-CoA inhibition. Mutation of methionine 593 abolishes malonyl-CoA inhibition.

Carnitine palmitoyltransferase (CPT) I, which catalyzes the conversion of palmitoyl-CoA to palmitoylcarnitine facilitating its transport through the mitochondrial membranes, is inhibited by malonyl-CoA. By using the SequenceSpace algorithm program to identify amino acids that participate in malonyl-CoA inhibition in all carnitine acyltransferases, we found 5 conserved amino acids (Thr(314), Asn(464), Ala(478), Met(593), and Cys(608), rat liver CPT I coordinates) common to inhibitable malonyl-CoA acyltransferases (carnitine octanoyltransferase and CPT I), and absent in noninhibitable malonyl-CoA acyltransferases (CPT II, carnitine acetyltransferase (CAT) and choline acetyltransferase (ChAT)). To determine the role of these amino acid residues in malonyl-CoA inhibition, we prepared the quintuple mutant CPT I T314S/N464D/A478G/M593S/C608A as well as five single mutants CPT I T314S, N464D, A478G, M593S, and C608A. In each case the CPT I amino acid selected was mutated to that present in the same homologous position in CPT II, CAT, and ChAT. Because mutant M593S nearly abolished the sensitivity to malonyl-CoA, two other Met(593) mutants were prepared: M593A and M593E. The catalytic efficiency (V(max)/K(m)) of CPT I in mutants A478G and C608A and all Met(593) mutants toward carnitine as substrate was clearly increased. In those CPT I proteins in which Met(593) had been mutated, the malonyl-CoA sensitivity was nearly abolished. Mutations in Ala(478), Cys(608), and Thr(314) to their homologous amino acid residues in CPT II, CAT, and ChAT caused various decreases in malonyl-CoA sensitivity. Ala(478) is located in the structural model of CPT I near the catalytic site and participates in the binding of malonyl-CoA in the low affinity site (Morillas, M., Gómez-Puertas, P., Rubi, B., Clotet, J., Ariño, J., Valencia, A., Hegardt, F. G., Serra, D., and Asins, G. (2002) J. Biol. Chem. 277, 11473-11480). Met(593) may participate in the interaction of malonyl-CoA in the second affinity site, whose location has not been reported.

Alanine↗
PubMed2002

p23 and HSP20/alpha-crystallin proteins define a conserved sequence domain present in other eukaryotic protein families.

We identified families of proteins characterized by the presence of a domain similar to human p23 protein, which include proteins such as Sgt1, involved in the yeast kinetochore assembly; melusin, involved in specific interactions with the cytoplasmic integrin beta1 domain; Rar1, related to pathogenic resistance in plants, and to development in animals; B5+B5R flavo-hemo cytochrome NAD(P)H oxidoreductase type B in humans and mice; and NudC, involved in nucleus migration during mitosis. We also found that p23 and the HSP20/alpha-crystallin family of heat shock proteins, which share the same three-dimensional folding, show a pattern of conserved residues that points to a common origin in the evolution of both protein domains. The p23 and HSP20/alpha-crystallin phylogenetic relationship and their similar role in chaperone activity suggest a common function, probably involving protein-protein interaction, for those proteins containing p23-like domains.

Amino Acid Sequence↗
PubMed2002

Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction.

Expression arrays facilitate the monitoring of changes in the expression patterns of large collections of genes. The analysis of expression array data has become a computationally-intensive task that requires the development of bioinformatics technology for a number of key stages in the process, such as image analysis, database storage, gene clustering and information extraction. Here, we review the current trends in each of these areas, with particular emphasis on the development of the related technology being carried out within our groups.

Abstracting and Indexing↗
PubMed2002

In silico two-hybrid system for the selection of physically interacting protein pairs.

Deciphering the interaction links between proteins has become one of the main tasks of experimental and bioinformatic methodologies. Reconstruction of complex networks of interactions in simple cellular systems by integrating predicted interaction networks with available experimental data is becoming one of the most demanding needs in the postgenomic era. On the basis of the study of correlated mutations in multiple sequence alignments, we propose a new method (in silico two-hybrid, i2h) that directly addresses the detection of physically interacting protein pairs and identifies the most likely sequence regions involved in the interactions. We have applied the system to several test sets, showing that it can discriminate between true and false interactions in a significant number of cases. We have also analyzed a large collection of E. coli protein pairs as a first step toward the virtual reconstruction of its complete interaction network.

Animals↗
PubMed2002

Structural model of a malonyl-CoA-binding site of carnitine octanoyltransferase and carnitine palmitoyltransferase I: mutational analysis of a malonyl-CoA affinity domain.

Carnitine octanoyltransferase (COT) and carnitine palmitoyltransferase (CPT) I, which facilitate the transport of medium- and long-chain fatty acids through the peroxisomal and mitochondrial membranes, are physiologically inhibited by malonyl-CoA. Using an "in silico" macromolecular docking approach, we built a model in which malonyl-CoA could be attached near the catalytic core. This disrupts the positioning of the acyl-CoA substrate in the channel in the model reported for both proteins (Morillas, M., Gómez-Puertas, P., Roca, R., Serra, D., Asins, G., Valencia, A., and Hegardt, F. G. (2001) J. Biol. Chem. 276, 45001-45008). The putative malonyl-CoA domain contained His(340), implicated together with His(131) in COT malonyl-CoA sensitivity (Morillas, M., Clotet, J., Rubi, B., Serra, D., Asins, G., Ariño, J., and Hegardt F. G. (2000) FEBS Lett. 466, 183-186). When we mutated COT His(131) the IC(50) increased, and malonyl-CoA competed with the substrate decanoyl-CoA. Mutation of COT Ala(332), present in the domain 8 amino acids away from His(340), decreased the malonyl-CoA sensitivity of COT. The homologous histidine and alanine residues of L-CPT I, His(277), His(483), and Ala(478) were also mutated, which decreased malonyl-CoA sensitivity. Natural mutation of Pro(479), which is also located in the malonyl-CoA predicted site, to Leu in a patient with human L-CPT I hereditary deficiency, modified malonyl-CoA sensitivity. We conclude that this malonyl-CoA domain is present in both COT and L-CPT I proteins and might be the site at which malonyl-CoA interacts with the substrate acyl-CoA. Other malonyl-CoA non-inhibitable members of the family, CPT II and carnitine acetyltransferase, do not contain this domain.

Amino Acid Sequence↗
PubMed2002

Analysis of the cellular functions of Escherichia coli operons and their conservation in Bacillus subtilis.

The common assumption of operons as composed of genes that cooperate in a biological process is confirmed here by showing that Escherichia coli operons tend to be composed of genes that belong to the same general class of cellular function. Furthermore, the comparison between the genomic organization of E. coli and that of Bacillus subtilis shows that the genes that are homologous to genes that belong to experimentally characterized E. coli operons tend to cluster in neighboring regions of the genome. This tendency is greater for the subset of E. coli operons whose genes belong to a single functional class. These observations indicate strong evolutionary pressure that, translated into functional constraints, leads to the inclusion of many essential functions in conserved operons and clusters in these two distant species.

Bacillus subtilis↗
PubMed2002

Computational methods for the prediction of protein interactions.

Establishing protein interaction networks is crucial for understanding cellular operations. Detailed knowledge of the 'interactome', the full network of protein-protein interactions, in model cellular systems should provide new insights into the structure and properties of these systems. Parallel to the first massive application of experimental techniques to the determination of protein interaction networks and protein complexes, the first computational methods, based on sequence and genomic information, have emerged.

Artificial Gene Fusion↗
PubMed2002

BRICHOS: a conserved domain in proteins associated with dementia, respiratory distress and cancer.

A novel domain (the BRICHOS domain) of approximately 100 amino acids has been identified in several previously unrelated proteins that are linked to major diseases. These include BRI(2), which is related to familial British and Danish dementia (FBD and FDD); Chondromodulin-I (ChM-I), related to chondrosarcoma; CA11, related to stomach cancer; and surfactant protein C (SP-C), related to respiratory distress syndrome (RDS). In several of these, the conserved BRICHOS domain is located in the propeptide region that is removed after proteolytic processing. Experimental data suggest that the role of this domain could be related to the complex post-translational processing of these proteins.

Amino Acid Motifs↗
PubMed2002

Prediction of protein--protein interaction sites in heterocomplexes with neural networks.

In this paper we address the problem of extracting features relevant for predicting protein--protein interaction sites from the three-dimensional structures of protein complexes. Our approach is based on information about evolutionary conservation and surface disposition. We implement a neural network based system, which uses a cross validation procedure and allows the correct detection of 73% of the residues involved in protein interactions in a selected database comprising 226 heterodimers. Our analysis confirms that the chemico-physical properties of interacting surfaces are difficult to distinguish from those of the whole protein surface. However neural networks trained with a reduced representation of the interacting patch and sequence profile are sufficient to generalize over the different features of the contact patches and to predict whether a residue in the protein surface is or is not in contact. By using a blind test, we report the prediction of the surface interacting sites of three structural components of the Dnak molecular chaperone system, and find close agreement with previously published experimental results. We propose that the predictor can significantly complement results from structural and functional proteomics.

Animals↗
PubMed2002

Information extraction in molecular biology.

Information extraction has become a very active field in bioinformatics recently and a number of interesting papers have been published. Most of the efforts have been concentrated on a few specific problems, such as the detection of protein-protein interactions and the analysis of DNA expression arrays, although it is obvious that there are many other interesting areas of potential application (document retrieval, protein functional description, and detection of disease-related genes to name a few). Paradoxically, these exciting developments have not yet crystallised into general agreement on a set of standard evaluation criteria, such as the ones developed in fields such as protein structure prediction, which makes it very difficult to compare performance across these different systems. In this review we introduce the general field of information extraction, we outline the status of the applications in molecular biology, and we then discuss some ideas about possible standards for evaluation that are needed for the future development of the field.

Information Management↗