Objetivo
We are more and more aware of the need to understand and predict the consequences of the chemicals on the health of human beings and the wild life. Using conventional methods, the assessing of toxic and ecotoxic risks should need funds, time and resources that are not available to solve in detail all the problems related with the increasing number of chemicals. On the other side many data and experiments are available, on thousands of chemicals. Further important information can be obtained from molecular descriptors. Molecular parameters and descriptors have been often used to describe, understand, model and predict the behaviour of chemicals in certain phenomena The explosion of information requires a radical change in the way to deal with the data of information. Artificial intelligence (AI) has been used in a few cases for toxicity prediction and expert systems (ES) in this field have been produced. Today, techniques such as inductive learning algorithms, fuzzy logic, artificial neural networks (ANN) and evolutionary algorithms (EA) can be used to model processes and phenomena with a non-linear behaviour. No studies have been done to compare all the techniques so far introduced using the same set of compounds.
This research will focus on the relationship between chemicals and their toxic and ecotoxic effects investigated through updated computerized approaches. The major objective of the COMET is to extract as much as possible information from the already available knowledge, from toxicity and ecotoxicity databases and suitable molecular descriptors, using advanced computer approaches such as fuzzy logic, ANN, EA, inductive leaming lgorithms and AI. This implies two separate objectives.
A) Previous studies to predict toxicity used or another toxic activity (correlation studies in most of the cases) or molecular descriptors generally QSAR studies). COMET will use both source of knowledge, combining them. In other words, known toxic activities and molecular descriptors will be used to predict an unknown toxicity.
B) Another important objective of COMET is to compare the different computer approaches, to have a better, more systematic knowledge on the performances, capabilities, advantages and disadvantages of the different systems. Since no comparative studies of the results obtained with the same large set of compounds using so many and different approaches have been presented, we think that COMET will significantly contribute to improve the knowledge on some of the specific objectives of the Programme in Areas 2.2.1.1 and 2.2.1.2. Particular attention will be paid to problems of chemical industries interested in toxic and ecotoxic assessment of their products such as pesticides, both in the development of the systems and in their validation. This will be done through a SME that will act as a reference and consultant. It will also evaluate the developed software. Furthermore, another partner, currently involved in a national committee for pollution evaluation, will interact with national regulatory bodies for environmental assessment.
No one has ever attempted to approach toxicity prediction with such a wide spectrum of different innovative computer tools: this can be done only within a multicenter and multidisciplinar consortium. The other important issue of COMET is the fundamental role that the end-users have in leading the systems towards real world problems and applications, since a chemical industry and an institute involved in regulatory bodies for environmental assessment are in the consortium.
Ámbito científico (EuroSciVoc)
- ciencias naturales informática y ciencias de la información base de datos
- ciencias naturales informática y ciencias de la información inteligencia artificial sistemas expertos
- ciencias naturales ciencias físicas astronomía ciencias planetarias cometas
- ciencias naturales ciencias de la tierra y ciencias ambientales conexas ciencias ambientales contaminación
- ciencias naturales informática y ciencias de la información inteligencia artificial inteligencia computacional
Programa(s)
Programas de financiación plurianuales que definen las prioridades de la UE en materia de investigación e innovación.
Programas de financiación plurianuales que definen las prioridades de la UE en materia de investigación e innovación.
Tema(s)
Las convocatorias de propuestas se dividen en temas. Un tema define una materia o área específica para la que los solicitantes pueden presentar propuestas. La descripción de un tema comprende su alcance específico y la repercusión prevista del proyecto financiado.
Las convocatorias de propuestas se dividen en temas. Un tema define una materia o área específica para la que los solicitantes pueden presentar propuestas. La descripción de un tema comprende su alcance específico y la repercusión prevista del proyecto financiado.
Convocatoria de propuestas
Procedimiento para invitar a los solicitantes a presentar propuestas de proyectos con el objetivo de obtener financiación de la UE.
Datos no disponibles
Procedimiento para invitar a los solicitantes a presentar propuestas de proyectos con el objetivo de obtener financiación de la UE.
Régimen de financiación
Régimen de financiación (o «Tipo de acción») dentro de un programa con características comunes. Especifica: el alcance de lo que se financia; el porcentaje de reembolso; los criterios específicos de evaluación para optar a la financiación; y el uso de formas simplificadas de costes como los importes a tanto alzado.
Régimen de financiación (o «Tipo de acción») dentro de un programa con características comunes. Especifica: el alcance de lo que se financia; el porcentaje de reembolso; los criterios específicos de evaluación para optar a la financiación; y el uso de formas simplificadas de costes como los importes a tanto alzado.
Coordinador
20157 Milano
Italia
Los costes totales en que ha incurrido esta organización para participar en el proyecto, incluidos los costes directos e indirectos. Este importe es un subconjunto del presupuesto total del proyecto.