Jorge Castro

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Recombinant fusion proteins containing the aa 286-426 of the dengue envelope protein fused to P64k protein from Neisseria meningitidis have been previously reported. Particularly, the immunogenicity and protective capacity of the dengue 2 recombinant protein was demonstrated in Macaca fascicularis monkeys. Here we evaluate the recombinant fusion protein(More)
The increasingly limited availability and high cost of the hitherto most commonly used monkey species in dengue vaccine research has augmented the importance of identifying alternative suitable models for these studies. In this study we examined the capacity of green monkeys (Chlorocebus aethiops sabaeus) to develop dengue viremia, and thus provide a(More)
The goal of this study was to compare the immune response and the protection capacity induced by the dengue virus 2 (DENV-2) American and Asian genotypes in Macaca fascicularis monkeys. Animals were infected with American or Asian DENV-2 strains and challenged 1 year later with a DENV-2 Asian genotype strain. The viremia and monkey antibody levels were(More)
Testing in non-human primates is a generally accepted necessary step preceding the evaluation of dengue vaccine candidates in humans. A reduction of viremia in these animals after virus challenge is generally used as an indicator of vaccine efficacy. In this work, we compared the infectivity of three strains of dengue virus type 2 in a non-human primate(More)
Use of a heterologous prime-boost strategy based on a combination of nonreplicative immunogens and candidate attenuated virus vaccines against dengue virus in the same schedule is an attractive approach. These combinations may result in a condensed immunization regime for humans, thus reducing the number of doses with attenuated virus and the time spacing.(More)
CIGB-247 is a cancer therapeutic, based on recombinant modified human vascular endothelial growth factor (VEGF) as antigen, in combination with the oil free adjuvant VSSP (very small sized proteoliposomes of Neisseria meningitidis outer membrane). Our previous experimental studies in mice with CIGB-247 have shown that the vaccine has both anti-tumoral and(More)
We present an improvement of an algorithm due to Clark and Thollard (Journal of Machine Learning Research, 2004) for PAC-learning distributions generated by Probabilistic Deterministic Finite Automata (PDFA). Our algorithm is an attempt to keep the rigorous guarantees of the original one but use sample sizes that are not as astronomical as predicted by the(More)
We introduce an abstract model of exact learning via queries that can be instantiated to all the query learning models currently in use, while being closer to them than previous uniicatory attempts. We present a characterization of those Boolean function classes learnable in this abstract model, in terms of a new combinatorial notion that we introduce, the(More)
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension provides tight upper and lower bounds on the query complexity for all sorts of queries, not only for example-based queries as in previous works. As an application we show that for(More)
We introduce a new combinatorial dimension that gives a good approximation of the number of queries needed to learn in the exact learning model, no matter what set of queries is used. This new dimension generalizes previous dimensions providing upper and lower bounds for all sorts of queries, and not for just example-based queries as in previous works. Our(More)