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Learning Theory and Immunology

New paradigms in the relationship between Mathematics and the Applied Sciences
Learning Theory and Immunology

Del 9 al 13 de abril se realizará la primer edición del programa

"CI3 - Conferencias Internacionales de Investigación Interdisciplinaria"

lanzado por el Ministerio de Ciencia, Tecnología e Innovación Productiva.

Contará con la visita del reconocido matemático Stephen Smale.


Lunes 9 Aula Magna
Pabellón I
14.00hs AperturaLino Barañao - Ministro de Ciencia, Tecnología e Innovación Productiva
14.30hsCharlaAlberto Kornblihtt Regulation of alternative splicing: how each gene makes many proteins
Alternative splicing is a major contributor to protein diversity because it explains how every individual gene generates multiple proteins. Recent findings justify a renewed interest in alternative splicing. Estimated to affect nearly 90 percent of human genes, alternative splicing is more the rule than the exception, and mutations that affect this mechanism are a widespread source of human disease, including many genetic disorders and cancers.
Our work focuses on the regulation of alternative pre-mRNA splicing, with particular emphasis on the mechanisms that couple the processes of splicing and transcription.
15.15hsCharlaGabriel Rabinovich Turning 'sweet' on immunity: Networks of lectins and glycans in the control of inflammatory responses
In the postgenomic era, the study of the ‘glycome’- the whole repertoire of sugar structures in cells and tissues- has enabled the association of unique glycan structures with specific physiological and pathological processes, adding a complexity of hundred million more information to the diversity already introduced by the genome and proteome. The responsibility for decoding this biological information is assigned, at least in part, to endogenous glycan-binding proteins or lectins whose expression is regulated at sites of inflammation and tumor growth.
With the overarching goal of generating more rational therapeutic strategies in chronic inflammation, autoimmune diseases and cancer, our laboratory investigates the molecular interactions between endogenous lectins and glycans leading to the control of innate and adaptive immune responses.
16.00hsCoffee Break
16.30hsCharlaSteve Smale Introduction to learning: Data and searching for a geometry of biology
Euclidean and Riemannian geometry have played a central role in the physical sciences. We will discuss how that geometry might be extended to the biological sciences and the sciences of intelligence.
Martes 10 Aula 8
Pabellón I
14:30hsCharla Alejandro Colman-Lerner How cells make cell fate choices: A System Biology Approach
Natural environments often present cells with complex stimuli. We are interested in understanding how cells process this information and execute an appropriate response. As a model system, we study the quantitative behavior of the mating pheromone response pathway in the baker’s yeast S.cerevisiae. This pathway has been extensively studied for the last 30 years using genetics, molecular biology and genomic tools. As a result, it’s core components, as well as their main interactions, has been successfully mapped. Now, we are studying how system-level behaviors arise from the interaction of these pathway components. For this goal, we use a combination of wet lab experiments with mathematical modeling and simulations. Here I will discuss our findings on how yeast locate a mating partner, measuring precisely external mean concentration and direction of the pheromone gradient.
15.30hsCoffee Break
16.00hsCharlaSteve SmaleLearning theory and the mathematical foundations of immunology; the peptide binding problem
A distance function on sets of amino acid chains will be introduced. Then a peptide binding function will be obtained by a data based optimization using that geometry
Jueves 12 Aula 8
Pabellón I
14.30hsCharla Hugo Naya Ronald vs. Ronald: Are we doing McDonaldized science?
The development of new technologies has led, in the last 20 years, to amazing discoveries in biology. In particular, nano-technologies, automatization and computer science allowed a series of High-Throughput analysis in molecular and cell biology that completely changed the existent paradigm. However, “there is no such thing as a free lunch” and these new instruments also changed unexpectedly the landscape of research conception. The promise of hypothesis-free data has conducted, in several cases, to careless experimental design that precluded full exploitation of results, increasing the experimental turnover and the storage of waste in data-repositories. Are we doing fast-science? Here, we exemplify the situation in the field of genomics, particularly focusing in experiments involving dense markers platforms. Principal challenges are discussed and some research lines proposed.
15.30hsCoffee Break
16.00hsCharlaSteve Smale Classification of diseases; genetics and serotypes
From the above metric a Hausdorff distance will be used to construct a clustering of supertypes of alleles.




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Sobre la conferencia

Casi todos los días uno lee -incluso en la prensa popular-  sobre avances en biología y medicina, en genómica, en diagnóstico de enfermedades y tratamientos, en desarrollo de drogas, en teoría evolutiva, en biología de sistemas, que tienen una fuerte componente matemática. Los matemáticos se han empezado a interesar en qué puede decir la matemática sobre estos temas, qué parte de la matemática es relevante para la modelización y el entendimiento de los fenómenos biológicos y qué nuevos desafíos se presentan a los matemáticos y a la matemática. De hecho ya hay institutos y conferencias dedicados a varios aspectos que vinculan la matemática y la biología, internacionalmente y aquí en la región.

Steve Smale, uno de los matemáticos más importantes del siglo 20, está pensando hace ya algún tiempo en algunas de estas cuestiones, y viene a compartir sus puntos de vista con nosotros.

Esperamos que este evento particular pueda ayudar a abrir posibilidades adicionales en nuestra comunidad, para acceder a algunas preguntas esenciales de la biología y la medicina, y entender la utilidad de la teoría matemática del aprendizaje para atacar estas cuestiones. Más generalmente, confiamos en que este evento será uno en una serie de reuniones interdisciplinarias que eventualmente podrán ayudar a extender el trabajo  interdisciplinario existente en estos tópicos de amplio interés e impacto a niveles de colaboraciones interdepartamentales, institucionales e incluso internacionales.

Ver noticia en la página del Ministerio de Ciencia, Tecnología e Innovación Productiva


  • Teresa Krick -
  • Mike Shub -
  • Adrián Turjanski -


Created by slaplagn
Last modified 2012-05-29 11:01 AM

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