Buenos Aires, Argentina

National University of Quilmes

Buenos Aires, Argentina

The National University of Quilmes is an Argentine national university and the most important one in the Quilmes area.The National University of Quilmes was founded on October 23, 1989. Located in Bernal , it serves the Southern Buenos Aires Metropolitan Area, home to three million people and 20% of the country’s industrial establishments.The UNQ has over eleven thousand students, distributed among its graduate courses and postgraduate courses of study. The University maintains 18 graduate programs , as well as 4 master's degree programs and 2 doctorates .The University’s stated mission is to teach in an environment of equality and diversity. Its essential functions are teaching, research, extension courses, human resources formation, technological development, productive innovation and culture promotion.The institution operates through a departmental structure. The Social science and the Science and Technology Departments, along with the Study and Research Center, provide teachers and researchers for the various diploma and degree courses of study taught at the University. Wikipedia.

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Videnovic A.,Northwestern University | Golombek D.,National University of Quilmes
Experimental Neurology | Year: 2013

Impaired sleep and alertness, initially recognized by James Parkinson in his famous monograph "An Essay on the Shaking Palsy" in 1817, is one of the most common and disabling nonmotor symptoms of Parkinson's disease (PD). It is only recently, however, that sleep disturbances in PD have received the attention of medical and research community. Dopamine, the major neurotransmitter implicated in the pathogenesis of PD, plays a pivotal role in the regulation of sleep and circadian homeostasis. Sleep dysfunction affects up to 90% of patients with PD, and may precede the onset of the disease by decades. Sleep dysfunction in PD may be categorized into disturbances of overnight sleep and daytime alertness. Etiology of impaired sleep and alertness in PD is multifactorial. Co-existent primary sleep disorders, medication side effects, overnight re-emergence of motor symptoms, and primary neurodegeneration itself, are main causes of sleep disruption and excessive daytime sleepiness among patients with PD. Increasing body of evidence suggests that the circadian system becomes dysregulated in PD, which may lead to poor sleep and alertness. Treatment options are limited and frequently associated with unwanted side effects. Further studies that will examine pathophysiology of sleep dysfunction in PD, and focus on novel treatment approaches are therefore very much needed. In this article we review the role of dopamine in regulation of sleep and alertness and discuss main sleep and circadian disturbances associated with PD. © 2012 Elsevier Inc.

Laje R.,University of California at Los Angeles | Laje R.,National University of Quilmes | Laje R.,CONICET | Buonomano D.V.,University of California at Los Angeles
Nature Neuroscience | Year: 2013

The brain's ability to tell time and produce complex spatiotemporal motor patterns is critical for anticipating the next ring of a telephone or playing a musical instrument. One class of models proposes that these abilities emerge from dynamically changing patterns of neural activity generated in recurrent neural networks. However, the relevant dynamic regimes of recurrent networks are highly sensitive to noise; that is, chaotic. We developed a firing rate model that tells time on the order of seconds and generates complex spatiotemporal patterns in the presence of high levels of noise. This is achieved through the tuning of the recurrent connections. The network operates in a dynamic regime that exhibits coexisting chaotic and locally stable trajectories. These stable patterns function as 'dynamic attractors' and provide a feature that is characteristic of biological systems: the ability to 'return' to the pattern being generated in the face of perturbations. © 2013 Nature America, Inc. All rights reserved.

Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH.2013.3.2-1 | Award Amount: 6.22M | Year: 2014

The aim of TRANSIT (Transformative Social Innovation Theory) is to build a theory of social innovation that is useful not only to academics, but also to policy makers, social entrepreneurs, and other stakeholders. The starting point for TRANSIT is the need to understand transformative social innovations: social innovations that contribute to systemic changes that address urgent societal challenges. TRANSIT unpacks the relation between social innovation and systemic change in the context of a rapidly changing world that faces game changing developments (e.g. financial crisis, climate change or the ICT-revolution). TRANSIT will explore constituent links in the causal chain between social innovation and systemic change. The main research question is: How and under what conditions do social innovations lead to systemic change, and how are actors (dis)empowered in transformative social innovation processes? TRANSIT will develop a new theory of transformative social innovation, drawing upon a range of existing theoretical and methodological approaches to innovation and social change, and using a systems innovation and sustainability transition research framework as a starting point. Empirically, TRANSIT takes an embedded case-study approach to conduct a multi-leveled, cross-national comparative analysis of social innovation projects and networks across Europe and Latin America, combining in-depth case-study analysis with quantitative meta-analysis. The new theory of transformative social innovation is thus both grounded in in-depth case-studies as well as tested and generalised in a cross-national data-base. The research concept of TRANSIT is to create an iterative interplay between: empirical research on social innovation; the development of a new empirically-grounded theory of transformative social innovation; and transdisciplinary translation to capacity building tools to be co-developed with policy-makers, civil society organisations and social entrepreneurs.

Romero E.L.,National University of Quilmes | Morilla M.J.,National University of Quilmes
Advanced Drug Delivery Reviews | Year: 2010

Over several thousand years, the flagellated Trypanosome cruzi-causative agent of Chagas disease-developed a complex life cycle between the reduviidae vectors and its human hosts. Due to their silent and hidden location, the intracellular amastigotes are mainly responsible for the nearly 50,000 annual deaths caused by the chronic chagasic cardiomyopathy. Chagas disease is the most important parasitic disease in the Americas, though treatments have not evolved towards a more efficient pharmacotherapy that (i) eradicates the scarce amastigotes present at the indeterminate/chronic form and (ii) employs less toxic drugs than benznidazole or nifurtimox. Nano-drug delivery systems (nanoDDS) represent useful means to selectively deliver the drug to intracellular targets. However, preclinical research in Chagas must be extended in order to improve the chances of a clinical implementation. The stages involved in this process are (i) selection of the appropriate drug for a specific parasite, (ii) development of a drug-loaded nanoDDS structure that displays the adequate pharmacokinetics, biodistribution and intracellular transit and (iii) selection of the right parasite form to target and the right stage of the disease for the treatment to be started. In this review we will critically overview the few research works published in the last 20 years in the context of nanotechnology and Chagas diseases and highlight the gaps in knowledge towards the design of more efficient medicines to address this endemic. © 2009 Elsevier B.V. All rights reserved.

Agency: European Commission | Branch: FP7 | Program: CP-TP | Phase: KBBE.2012.3.3-03 | Award Amount: 7.11M | Year: 2012

The European Life science and chemical industries increasingly depend on effi-cient, sustainable, and cost-effective bioprocessing platforms to remain competi-tive. A critical assessment of current bottlenecks during (bio) manufacturing clearly indicates that the recovery and purification of biologicals in large scale in responsible for many inefficiencies. INTENSO proposes an evaluation of the current situation of the downstream processing scenario with the aim of identifying inefficiencies and concomitantly introduce a debottlenecking overarching strategy. The later will be build up on the basis of a multidisciplinary approach, which considers opportunities to im-prove the process technology and underlying chemistry / biology and materials science at the same time. INTENSO will work alongside 4 technological axes, targeting promising and up-coming technologies and tailoring such technologies to the manufacturing of various classes of (bio) products. Intensification of individual unit operations and global process integration, as well as, dovetailing with fermentation / cell cultivation will be employed to the mentioned end. INTENSO will target new classes of (bio) products like Monoclonal Antibodies (Mabs), pDNA (e.g. for genetic vaccination), Virus Like Particles (VLP) or nano-plexes. All the mentioned new products are part of most industrial R&D pipelines and offer an excellent opportunity to introduce innovative bioprocessing. The results of the project are expected to contribute to the understanding of current industrial downstream processing practice, to the definition and alleviation of current inefficiencies, to the development and / or implementation of novel technologies, and to more efficient / sustainable and cost effective (bio) manufacturing. Various technologies will be studied utilizing a nano-to-process strategy so as to introduce integration / intensification during bioprocessing.

Nelson T.,Los Alamos National Laboratory | Fernandez-Alberti S.,National University of Quilmes | Roitberg A.E.,University of Florida | Tretiak S.,Los Alamos National Laboratory
Accounts of Chemical Research | Year: 2014

ConspectusTo design functional photoactive materials for a variety of technological applications, researchers need to understand their electronic properties in detail and have ways to control their photoinduced pathways. When excited by photons of light, organic conjugated materials (OCMs) show dynamics that are often characterized by large nonadiabatic (NA) couplings between multiple excited states through a breakdown of the Born-Oppenheimer (BO) approximation. Following photoexcitation, various nonradiative intraband relaxation pathways can lead to a number of complex processes. Therefore, computational simulation of nonadiabatic molecular dynamics is an indispensable tool for understanding complex photoinduced processes such as internal conversion, energy transfer, charge separation, and spatial localization of excitons.Over the years, we have developed a nonadiabatic excited-state molecular dynamics (NA-ESMD) framework that efficiently and accurately describes photoinduced phenomena in extended conjugated molecular systems. We use the fewest-switches surface hopping (FSSH) algorithm to treat quantum transitions among multiple adiabatic excited state potential energy surfaces (PESs). Extended molecular systems often contain hundreds of atoms and involve large densities of excited states that participate in the photoinduced dynamics. We can achieve an accurate description of the multiple excited states using the configuration interaction single (CIS) formalism with a semiempirical model Hamiltonian. Analytical techniques allow the trajectory to be propagated "on the fly" using the complete set of NA coupling terms and remove computational bottlenecks in the evaluation of excited-state gradients and NA couplings. Furthermore, the use of state-specific gradients for propagation of nuclei on the native excited-state PES eliminates the need for simplifications such as the classical path approximation (CPA), which only uses ground-state gradients. Thus, the NA-ESMD methodology offers a computationally tractable route for simulating hundreds of atoms on ∼10 ps time scales where multiple coupled excited states are involved.In this Account, we review recent developments in the NA-ESMD modeling of photoinduced dynamics in extended conjugated molecules involving multiple coupled electronic states. We have successfully applied the outlined NA-ESMD framework to study ultrafast conformational planarization in polyfluorenes where the rate of torsional relaxation can be controlled based on the initial excitation. With the addition of the state reassignment algorithm to identify instances of unavoided crossings between noninteracting PESs, NA-ESMD can now be used to study systems in which these so-called trivial unavoided crossings are expected to predominate. We employ this technique to analyze the energy transfer between poly(phenylene vinylene) (PPV) segments where conformational fluctuations give rise to numerous instances of unavoided crossings leading to multiple pathways and complex energy transfer dynamics that cannot be described using a simple Förster model. In addition, we have investigated the mechanism of ultrafast unidirectional energy transfer in dendrimers composed of poly(phenylene ethynylene) (PPE) chromophores and have demonstrated that differential nuclear motion favors downhill energy transfer in dendrimers. The use of native excited-state gradients allows us to observe this feature. © 2014 American Chemical Society.

Non-synonymous coding SNPs (nsSNPs) that are associated to disease can also be related with alterations in protein stability. Computational methods are available to predict the effect of single amino acid substitutions (SASs) on protein stability based on a single folded structure. However, the native state of a protein is not unique and it is better represented by the ensemble of its conformers in dynamic equilibrium. The maintenance of the ensemble is essential for protein function. In this work we investigated how protein conformational diversity can affect the discrimination of neutral and disease related SASs based on protein stability estimations. For this purpose, we used 119 proteins with 803 associated SASs, 60% of which are disease related. Each protein was associated with its corresponding set of available conformers as found in the Protein Conformational Database (PCDB). Our dataset contains proteins with different extensions of conformational diversity summing up a total number of 1023 conformers. The existence of different conformers for a given protein introduces great variability in the estimation of the protein stability (ΔΔG) after a single amino acid substitution (SAS) as computed with FoldX. Indeed, in 35% of our protein set at least one SAS can be described as stabilizing, destabilizing or neutral when a cutoff value of ±2 kcal/mol is adopted for discriminating neutral from perturbing SASs. However, when the ΔΔG variability among conformers is taken into account, the correlation among the perturbation of protein stability and the corresponding disease or neutral phenotype increases as compared with the same analysis on single protein structures. At the conformer level, we also found that the different conformers correlate in a different way to the corresponding phenotype. Our results suggest that the consideration of conformational diversity can improve the discrimination of neutral and disease related protein SASs based on the evaluation of the corresponding Gibbs free energy change.

National University of Quilmes | Date: 2012-10-10

Methods and compositions for controlling leaf-cutting ants. More particularly, methods and kits for controlling leaf-cutting ants by serially supplying different formulations, and a method for increasing production of conidia of the Escovopsis fungus useful as controlling agent in the methods and compositions are disclosed herein. The methods comprise serially supplying at least two bait formulations, each formulation containing at least one controlling agent for the ants and one attractant and/or controlling agent masking substance, wherein the attractants and/or controlling agent masking substance are different on each formulation.

Inis Biotech Llc, Conicet and National University of Quilmes | Date: 2013-12-26

Antimicrobial peptides such as, for example, the peptides shown in SEQ ID No 1, SEQ ID No 2, SEQ ID No 3, SEQ ID No 4 or SEQ ID No 5. The peptides have activity against Gram positive bacteria and against Gram negative bacteria. A bactericidal composition is also provided, which may comprise an amount between 0.5 g/mL and 1024 g/mL of the peptides; and excipients.

National University of Quilmes and Chemo Research S.L. | Date: 2012-10-10

Provided herein are phenyl-guanidine derivatives for the inhibition of Rac1 which blocks its interaction with guanosine exchange factors (GEFs) belonging to the DBL family as agents for the treatment of aggressive and/or resistant tumours, as well as pharmaceutical compositions comprising them, their use in therapy and processes for their preparation.

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