Biomedical subjects

Xavier de la Cruz

Publications and source records attributed to Xavier de la Cruz.

16 recordsLinked to original sources

PubMed2006

Characterization of compensated mutations in terms of structural and physico-chemical properties.

The study of the evolution of compensatory mechanisms among amino acids is paramount to our understanding of intramolecular epistatic interactions. It has been addressed from different points of view, for example much effort has been devoted to establish the number of compensatory mutations required per deleterious mutation. However, we still do not know how the nature of the compensated mutation determines the existence of compensatory mutations. Within this context, recent studies have produced several instances of an interesting phenomenon: human disease-associated residues may sometimes appear as wild-type residues in non-human proteins. This can be explained in terms of compensatory mutations, present in the non-human protein, which would neutralize the damage caused by the disease-associated residue. Therefore, comparison between these compensated mutations and non-compensated pathological mutations provides a simple approach to understand how the nature of the compensated deleterious mutation determines the existence of compensatory mutations. To address this issue, we have obtained a large set of compensated mutations and characterised them with a series of different properties. When comparing the resulting distributions with those from pathological mutations we find that in general compensated mutations are milder than pathological mutations. More precisely, we find that the probability that a compensatory mutation will evolve is directly related (i) to the location in the protein structure and (ii) to changes in physico-chemical properties (e.g. amino acid volume or hydrophobicity) of the compensated mutation.

Animals↗

PubMed2006

A fast method for the determination of fractional contributions to solvation in proteins.

A fast method for the calculation of residue contributions to protein solvation is presented. The approach uses the exposed polar and apolar surface of protein residues and has been parametrized from the fractional contributions to solvation determined from linear response theory coupled to molecular dynamics simulations. Application of the method to a large subset of proteins taken from the Protein Data Bank allowed us to compute the expected fractional solvation of residues. This information is used to discuss when a residue or a group of residues presents an uncommon solvation profile.

Amino Acid Sequence↗

PubMed2006

Data mining of molecular dynamics trajectories of nucleic acids.

Analysis, storage, and transfer of molecular dynamic trajectories are becoming the bottleneck of computer simulations. In this paper we discuss different approaches for data mining and data processing of huge trajectory files generated from molecular dynamic simulations of nucleic acids.

Computer Simulation↗

PubMed2005

Use of bioinformatics tools for the annotation of disease-associated mutations in animal models.

Single-point mutations are one of the most frequent causes of genetic variability in both human and close species. The recent availability of different bioinformatics tools for annotating human single nucleotide polymorphisms (SNPs) has opened the possibility of using them to score SNPs from species with a biomedical interest, in particular from mice and other models of human disease. Also, this ability to predict pathogenicity of single point mutations in one species, based on data from another species, opens the possibility to predict the pathological character of single point mutations in humans using data from well-characterized model systems of human disease. This could provide a valuable alternative to the more traditional genetic population approaches. However, transferral of prediction tools may be limited by different factors, from a species bias in the training set, to a large sequence divergence between the proteomes of the training and the target species. Here we study the conditions under which prediction tools can be transferred among species, concentrating in the case of mice. We find that for the majority of the human-mouse homolog pairs, the sequence similarity is large enough to preserve the pathological character of mutations among species, in general. We then establish that prediction/annotation tools developed for one organism can be used to predict the neutral/pathological character of mutations/SNPs in the other organism.

Animals↗

PubMed2005

PupasView: a visual tool for selecting suitable SNPs, with putative pathological effect in genes, for genotyping purposes.

We have developed a web tool, PupasView, for the selection of single nucleotide polymorphisms (SNPs) with potential phenotypic effect. PupasView constitutes an interactive environment in which functional information and population frequency data can be used as sequential filters over linkage disequilibrium parameters to obtain a final list of SNPs optimal for genotyping purposes. PupasView is the first resource that integrates phenotypic effects caused by SNPs at both the translational and the transcriptional level. PupasView retrieves SNPs that could affect conserved regions that the cellular machinery uses for the correct processing of genes (intron/exon boundaries or exonic splicing enhancers), predicted transcription factor binding sites and changes in amino acids in the proteins for which a putative pathological effect is calculated. The program uses the mapping of SNPs in the genome provided by Ensembl. PupasView will be of much help in studies of multifactorial disorders, where the use of functional SNPs will increase the sensitivity of the identification of the genes responsible for the disease. The PupasView web interface is accessible through http://pupasview.ochoa.fib.es and through http://www.pupasnp.org.

Computer Graphics↗

PubMed2005

PMUT: a web-based tool for the annotation of pathological mutations on proteins.

PMUT allows the fast and accurate prediction (approximately 80% success rate in humans) of the pathological character of single point amino acidic mutations based on the use of neural networks. The program also allows the fast scanning of mutational hot spots, which are obtained by three procedures: (1) alanine scanning, (2) massive mutation and (3) genetically accessible mutations. A graphical interface for Protein Data Bank (PDB) structures, when available, and a database containing hot spot profiles for all non-redundant PDB structures are also accessible from the PMUT server.

Amino Acid Substitution↗

PubMed2005

Partition of protein solvation into group contributions from molecular dynamics simulations.

Linear response theory coupled to molecular dynamics simulations with an explicit solvent representation is used to derive fractional contributions of amino acid residues to the solvation of proteins. The new fractional methods developed here are compared with standard approaches based on empirical 1D and 3D statistical potentials, as well as with estimates obtained from the analysis of classical molecular interaction potentials. The new fractional methods, which have a clear physical basis and explicitly account for the effects due to protein structure and flexibility, provide an accurate picture of the contribution to solvation of different regions of the protein.

Computer Simulation↗

PubMed2005

Do protein motifs read the histone code?

The existence of different patterns of chemical modifications (acetylation, methylation, phosphorylation, ubiquitination and ADP-ribosylation) of the histone tails led, some years ago, to the histone code hypothesis. According to this hypothesis, these modifications would provide binding sites for proteins that can change the chromatin state to either active or repressed. Interestingly, some protein domains present in histone-modifying enzymes are known to interact with these covalent marks in the histone tails. This was first shown for the bromodomain, which was found to interact selectively with acetylated lysines at the histone tails. More recently, it has been described that the chromodomain can be targeted to methylation marks in histone N-terminal domains. Finally, the interaction between the SANT domain and histones is also well documented. Overall, experimental evidence suggests that these domains could be involved in the recruitment of histone-modifying enzymes to discrete chromosomal locations, and/or in the regulation their enzymatic activity. Within this context, we review the distribution of bromodomains, chromodomains and SANT domains among chromatin-modifying enzymes and discuss how they can contribute to the translation of the histone code.

Adenosine Triphosphate↗

PubMed2004

Linear response theory: an alternative to PB and GB methods for the analysis of molecular dynamics trajectories?

We explore the use of classical Linear Response Theory (LRT) as an alternative strategy to the use of Molecular Mechanics/Poisson-Boltzmann strategies to compute the solvation free energy of macromolecules from molecular dynamics simulations using an explicit representation of solvent. The method reproduces well the free energy of solvation of standard amino acid side chains, small peptides, and proteins. The use of a fully discrete representation of solvent avoids the possible problems of continuum models to represent the solvation of systems containing tightly bound water molecules.

Alanine↗

PubMed2004

Triplex-forming oligonucleotide target sequences in the human genome.

The existence of sequences in the human genome which can be a target for triplex formation, and accordingly are candidates for anti-gene therapies, has been studied by using bioinformatics tools. It was found that the population of triplex-forming oligonucleotide target sequences (TTS) is much more abundant than that expected from simple random models. The population of TTS is large in all the genome, without major differences between chromosomes. A wide analysis along annotated regions of the genome allows us to demonstrate that the largest relative concentration of TTS is found in regulatory regions, especially in promoter zones, which suggests a tremendous potentiality for triplex strategy in the control of gene expression. The dependence of the stability and selectivity of the triplexes on the length of the TTS is also analysed using knowledge-based rules.

Computational Biology↗

PubMed2004

Alternative splicing mechanisms for the modulation of protein function: conservation between human and other species.

Alternative splicing (AS) is an important process in eukaryotic organisms by which a given gene may express a set of different protein isoforms depending on the tissue, or the developmental stage of the individual. In the present work, we have compared AS among species, focusing on the conservation of AS mechanisms for the modulation of protein function. For this purpose, we first analysed the frequency with which different species, human, mouse, rat and fruitfly, utilise them. Second, we focused more directly on the conservation among species of the mechanisms themselves. To this end, we compared biologically equivalent AS events between human and mouse, or rat. Our results indicate only minor differences in the frequency of use of these mechanisms, as well as a high degree of conservation among the species studied.

Alternative Splicing↗

PubMed2003

The SV40 T antigen modulates CBP histone acetyltransferase activity.

Histone acetyltransferases (HATs) play a key role in transcription control, cell proliferation and differentiation by modulating chromatin structure; however, little is known about their own regulation. Here we show that expression of the viral oncoprotein SV40 T antigen increases histone acetylation and global cellular HAT activities. In addition, it enhances CREB-binding protein HAT activity and modulates its transcriptional activity. Finally, we show that inhibition of cellular histone deacetylases by trichostatin A increases the SV40 infectivity rate. These findings highlight the importance of histone acetylation in the regulation of the cell cycle by oncoviral proteins.

Acetylation↗

PubMed2002

HSos1 contains a new amino-terminal regulatory motif with specific binding affinity for its pleckstrin homology domain.

The protein hSos1 is a Ras guanine nucleotide exchange factor. In the present study, we investigated the function of the amino-terminal region of the hSos1 protein, corresponding to the first 600 residues, which includes the Dbl and pleckstrin homology (DH and PH) domains. We demonstrated, using a series of truncated mutants, that this region is absolutely necessary for hSos1 activity. Our results suggest that the first 200 residues (upstream of DH domain), which we called the HF motif on the basis of their homology with histone H2A, may exert negative control over the functional activity of the whole hSos1 protein. In vitro binding analysis showed that the HF motif is able to interact specifically with the PH domain of hSos1. The amino-terminal region of hSos1 may be associated in vivo with an expressed HF motif. These findings document the existence of the HF motif located upstream of the DH domain in the hSos1 protein. This motif may be responsible for the negative control of hSos1, probably by intramolecular binding with the PH domain.

3T3 Cells↗

PubMed2002

Toward predicting protein topology: an approach to identifying beta hairpins.

Although secondary structure prediction methods have recently improved, progress from secondary to tertiary structure prediction has been limited. A promising but largely unexplored route to this goal is to predict structure motifs from secondary structure knowledge. Here we present a novel method for the recognition of beta hairpins that combines secondary structure predictions and threading methods by using a database search and a neural network approach. The method successfully predicts 48 and 77%, respectively, of all of hairpin and nonhairpin beta-coil-beta motifs in a protein database. We find that the main contributors to motif recognition are predicted accessibility and turn propensities.

Databases, Factual↗

PubMed2002

Characterization of disease-associated single amino acid polymorphisms in terms of sequence and structure properties.

In the present work, we use structural information to characterize a set of disease-associated single amino acid polymorphisms exhaustively. The analysis of different properties, such as substitution matrix elements, secondary structure, accessibility, free energies of transfer from water to octanol, amino acid volume, etc., suggests that many disease-causing mutations are associated with extreme changes in the value of parameters relating to protein stability. Overall, our results indicate that, while knowledge of protein structure clearly helps in understanding these mutations, a finer understanding can come only from a quantitative knowledge of protein stability and of the protein environment in the cell. Interestingly, use of evolutionary information from multiple sequence alignments can be used to increase our knowledge of disease-associated mutations.

Computational Biology↗

PubMed2002

Use of structure comparison methods for the refinement of protein structure predictions. I. Identifying the structural family of a protein from low-resolution models.

Predicting the three-dimensional structure of proteins is still one of the most challenging problems in molecular biology. Despite its difficulty, several investigators have started to produce consistently low-resolution predictions for small proteins. However, in most of these cases, the prediction accuracy is still too low to make them useful. In the present article, we address the problem of obtaining better-quality predictions, starting from low-resolution models. To this end, we have devised a new procedure that uses these models, together with structure comparison methods, to identify the structural family of the target protein. This would allow, in a second step not described in the present work, to refine the predictions using conserved features of the identified family. In our approach, the structure database is investigated using predictions, at different accuracy levels, for a given protein. As query structures, we used both low-resolution versions of the native structures, as well as different sets of low accuracy predictions. In general, we found that for predictions with a resolution of > or =5-7 A, structure comparison methods were able to identify the fold of a protein in the top positions.

Databases, Protein↗