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Dive into the research topics where Pablo Chacón is active.

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Featured researches published by Pablo Chacón.


Biophysical Journal | 1998

Low-Resolution Structures of Proteins in Solution Retrieved from X-Ray Scattering with a Genetic Algorithm

Pablo Chacón; F. Morán; José Fernando Díaz; E. Pantos

Small-angle x-ray solution scattering (SAXS) is analyzed with a new method to retrieve convergent model structures that fit the scattering profiles. An arbitrary hexagonal packing of several hundred beads containing the problem object is defined. Instead of attempting to compute the Debye formula for all of the possible mass distributions, a genetic algorithm is employed that efficiently searches the configurational space and evolves best-fit bead models. Models from different runs of the algorithm have similar or identical structures. The modeling resolution is increased by reducing the bead radius together with the search space in successive cycles of refinement. The method has been tested with protein SAXS (0.001 < S < 0.06 A(-1)) calculated from x-ray crystal structures, adding noise to the profiles. The models obtained closely approach the volumes and radii of gyration of the known structures, and faithfully reproduce the dimensions and shape of each of them. This includes finding the active site cavity of lysozyme, the bilobed structure of gamma-crystallin, two domains connected by a stalk in betab2-crystallin, and the horseshoe shape of pancreatic ribonuclease inhibitor. The low-resolution solution structure of lysozyme has been directly modeled from its experimental SAXS profile (0.003 < S < 0.03 A(-1)). The model describes lysozyme size and shape to the resolution of the measurement. The method may be applied to other proteins, to the analysis of domain movements, to the comparison of solution and crystal structures, as well as to large macromolecular assemblies.


Proteins | 2001

SOMCD: Method for evaluating protein secondary structure from UV circular dichroism spectra

Per Unneberg; Juan J. Merelo; Pablo Chacón; Federico Morán

This article presents SOMCD, an improved method for the evaluation of protein secondary structure from circular dichroism spectra, based on Kohonens self‐organizing maps (SOM). Protein circular dichroism (CD) spectra are used to train a SOM, which arranges the spectra on a two‐dimensional map. Location in the map reflects the secondary structure composition of a protein. With SOMCD, the prediction of β‐turn has been included. The number of spectra in the training set has been increased, and it now includes 39 protein spectra and 6 reference spectra. Finally, SOM parameters have been chosen to minimize distortion and make the network produce clusters with known properties. Estimation results show improvements compared with the previous version, K2D, which, in addition, estimated only three secondary structure components; the accuracy of the method is more uniform over the different secondary structures. Proteins 2001;42:460–470.


Bioinformatics | 2007

ADP_EM: fast exhaustive multi-resolution docking for high-throughput coverage

José Ignacio Garzón; Julio A. Kovacs; Ruben Abagyan; Pablo Chacón

MOTIVATION Efficient fitting tools are needed to take advantage of a fast growth of atomic models of protein domains from crystallography or comparative modeling, and low-resolution density maps of larger molecular assemblies. Here, we report a novel fitting algorithm for the exhaustive and fast overlay of partial high-resolution models into a low-resolution density map. The method incorporates a fast rotational search based on spherical harmonics (SH) combined with a simple translational scanning. RESULTS This novel combination makes it possible to accurately dock atomic structures into low-resolution electron-density maps in times ranging from seconds to a few minutes. The high-efficiency achieved with simulated and experimental test cases preserves the exhaustiveness needed in these heterogeneous-resolution merging tools. The results demonstrate its efficiency, robustness and high-throughput coverage. AVAILABILITY http://sbg.cib.csic.es/Software/ADP_EM. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.


Nature | 2016

Structure of promoter-bound TFIID and model of human pre-initiation complex assembly

Robert K. Louder; Yuan He; José Ramón López-Blanco; Jie Fang; Pablo Chacón; Eva Nogales

The general transcription factor IID (TFIID) plays a central role in the initiation of RNA polymerase II (Pol II)-dependent transcription by nucleating pre-initiation complex (PIC) assembly at the core promoter. TFIID comprises the TATA-binding protein (TBP) and 13 TBP-associated factors (TAF1–13), which specifically interact with a variety of core promoter DNA sequences. Here we present the structure of human TFIID in complex with TFIIA and core promoter DNA, determined by single-particle cryo-electron microscopy at sub-nanometre resolution. All core promoter elements are contacted by subunits of TFIID, with TAF1 and TAF2 mediating major interactions with the downstream promoter. TFIIA bridges the TBP–TATA complex with lobe B of TFIID. We also present the cryo-electron microscopy reconstruction of a fully assembled human TAF-less PIC. Superposition of common elements between the two structures provides novel insights into the general role of TFIID in promoter recognition, PIC assembly, and transcription initiation.


ACS Chemical Biology | 2012

Targeting the assembly of bacterial cell division protein FtsZ with small molecules.

Claudia Schaffner-Barbero; Mar Martín-Fontecha; Pablo Chacón

FtsZ is the key protein of bacterial cell division and an emergent target for new antibiotics. It is a filament-forming GTPase and a structural homologue of eukaryotic tubulin. A number of FtsZ-interacting compounds have been reported, some of which have powerful antibacterial activity. Here we review recent advances and new approaches in modulating FtsZ assembly with small molecules. This includes analyzing their chemical features, binding sites, mechanisms of action, the methods employed, and computational insights, aimed at a better understanding of their molecular recognition by FtsZ and at rational antibiotic design.


Journal of Structural Biology | 2013

iMODFIT: Efficient and robust flexible fitting based on vibrational analysis in internal coordinates

José Ramón López-Blanco; Pablo Chacón

Here, we employed the collective motions extracted from Normal Mode Analysis (NMA) in internal coordinates (torsional space) for the flexible fitting of atomic-resolution structures into electron microscopy (EM) density maps. The proposed methodology was validated using a benchmark of simulated cases, highlighting its robustness over the full range of EM resolutions and even over coarse-grained representations. A systematic comparison with other methods further showcased the advantages of this proposed methodology, especially at medium to lower resolutions. Using this method, computational costs and potential overfitting problems are naturally reduced by constraining the search in low-frequency NMA space, where covalent geometry is implicitly maintained. This method also effectively captures the macromolecular changes of a representative set of experimental test cases. We believe that this novel approach will extend the currently available EM hybrid methods to the atomic-level interpretation of large conformational changes and their functional implications.


Proteins | 2004

Predictions of Protein Flexibility: First-Order Measures

Julio A. Kovacs; Pablo Chacón; Ruben Abagyan

The normal modes of a molecule are utilized, in conjunction with classical conformal vector field theory, to define a function that measures the capability of the molecule to deform at each of its residues. An efficient algorithm is presented to calculate the local chain deformability from the set of normal modes of vibration. This is done by considering each mode as an off‐grid sample of a deformation vector field. Predictions of deformability are compared with experimental data in the form of dihedral angle differences between two conformations of ten kinases by using a modified correlation function. Deformability calculations correlate well with experimental results and validate the applicability of this method to protein flexibility predictions. Proteins 2004.


Structure | 2008

Architecture of the Pontin/Reptin Complex, Essential in the Assembly of Several Macromolecular Complexes

Eva Torreira; Sudhakar Jha; José Ramón López-Blanco; Ernesto Arias-Palomo; Pablo Chacón; Cristina Cañas; Sylvia Ayora; Anindya Dutta; Oscar Llorca

Pontin and reptin belong to the AAA+ family, and they are essential for the structural integrity and catalytic activity of several chromatin remodeling complexes. They are also indispensable for the assembly of several ribonucleoprotein complexes, including telomerase. Here, we propose a structural model of the yeast pontin/reptin complex based on a cryo-electron microscopy reconstruction at 13 A. Pontin/reptin hetero-dodecamers were purified from in vivo assembled complexes forming a double ring. Two rings interact through flexible domains projecting from each hexamer, constituting an atypical asymmetric form of oligomerization. These flexible domains and the AAA+ cores reveal significant conformational changes when compared with the crystal structure of human pontin that generate enlarged channels. This structure of endogenously assembled pontin/reptin complexes is different than previously described structures, suggesting that pontin and reptin could acquire distinct structural states to regulate their broad functions as molecular motors and scaffolds for nucleic acids and proteins.


Biochimica et Biophysica Acta | 1997

A prediction of DPP IV/CD26 domain structure from a physico-chemical investigation of dipeptidyl peptidase IV (CD26) from human seminal plasma

Anne-Marie Lambeir; José Fernando Dı́az Pereira; Pablo Chacón; Geert Vermeulen; Karel Heremans; Bart Devreese; Jozef Van Beeumen; Ingrid De Meester; Simon Scharpé

Human DPP IV, isolated from seminal plasma by means of immobilised adenosine deaminase, occurs in different forms which are distinguishable by net charge and native molecular weight. Charge differences arise primarily from different degrees of glycosylation containing various amounts of sialic acid. The majority of DPP IV isolated from total seminal plasma consists of the extracellular part of the protein starting at Gly-31. It is a very stable protein resisting high concentrations of denaturant. Unfolding experiments under reducing conditions are indicative of the existence of at least two domains which function independently. One of these domains is highly stabilised by disulfide bonds. Disruption of the disulfide bonds does not affect the activity, the dimeric state nor the adenosine deaminase binding properties of the protein but renders it more susceptible to proteolysis. The low-angle X-ray scattering spectrum is consistent with a model for a protein containing two subunits, each composed of three domains linked by flexible regions with low average mass. The secondary structure composition, determined by FTIR spectrometry, indicates that 45% of the protein consists of beta-sheets, which is higher than expected from computed secondary structure predictions. Our results provide compelling experimental evidence for the three-domain structure of the extracellular part of DPP IV.


Structure | 2013

Formation of an intricate helical bundle dictates the assembly of the 26S proteasome lid.

Eric Estrin; José Ramón López-Blanco; Pablo Chacón; Andreas Martin

The 26S proteasome is the major ATP-dependent protease in eukaryotes and thus involved in regulating a diverse array of vital cellular processes. Three subcomplexes form this massive degradation machine: the lid, the base, and the core. While assembly of base and core has been well-studied, the detailed molecular mechanisms involved in formation of the nine-subunit lid remain largely unknown. Here, we reveal that helices found at the C terminus of each lid subunit form a helical bundle that directs the ordered self-assembly of the lid subcomplex. Furthermore, we use an integrative modeling approach to gain critical insights into the bundle topology and provide an important structural framework for our biochemical data. We show that the helical bundle serves as a hub through which the last-added subunit Rpn12 monitors proper lid assembly before incorporation into the proteasome. Finally, we predict that the assembly of the COP9 signalosome depends on a similar helical bundle.

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José Ramón López-Blanco

Spanish National Research Council

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Erney Ramírez-Aportela

Spanish National Research Council

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Federico Morán

Complutense University of Madrid

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José Ignacio Garzón

Spanish National Research Council

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J. Fernando Díaz

Spanish National Research Council

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Mar Martín-Fontecha

Complutense University of Madrid

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Eva Nogales

University of California

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Julio A. Kovacs

Scripps Research Institute

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Alvaro Moreno

University of the Basque Country

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