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dc.creatorGarcía Martín, Juan Antonio
dc.creatorChavarría Vargas, Max
dc.creatorde Lorenzo, Víctor
dc.creatorPazos, Florencio
dc.date.accessioned2021-02-17T16:35:29Z
dc.date.available2021-02-17T16:35:29Z
dc.date.issued2020
dc.identifier.citationhttps://academic.oup.com/biomethods/article/5/1/bpaa025/5981135es_ES
dc.identifier.issn2396-8923
dc.identifier.urihttps://hdl.handle.net/10669/82861
dc.description.abstractThe environmental fate of many functional molecules that are produced on a large scale as precursors or as additives to specialty goods (plastics, fibers, construction materials, etc.), let alone those synthesized by the pharmaceutical industry, is generally unknown. Assessing their environmental fate is crucial when taking decisions on the manufacturing, handling, usage, and release of these substances, as is the evaluation of their toxicity in humans and other higher organisms. While this data are often hard to come by, the experimental data already available on the biodegradability and toxicity of many unusual compounds (including genuinely xenobiotic molecules) make it possible to develop machine learning systems to predict these features. As such, we have created a predictor of the “risk” associated with the use and release of any chemical. This new system merges computational methods to predict biodegradability with others that assess biological toxicity. The combined platform, named BiodegPred (https://sysbiol.cnb.csic.es/BiodegPred/), provides an informed prognosis of the chance a given molecule can eventually be catabolized in the biosphere, as well as of its eventual toxicity, all available through a simple web interface. While the platform described does not give much information about specific degradation kinetics or particular biodegradation pathways, BiodegPred has been instrumental in anticipating the probable behavior of a large number of new molecules (e.g. antiviral compounds) for which no biodegradation data previously existed.es_ES
dc.language.isoen_USes_ES
dc.sourceBiology Methods and Protocols, vol.5(1),pp.bpaa025es_ES
dc.subjectConcomitant predictiones_ES
dc.subjectEnvironmental fatees_ES
dc.subjectToxicity of chemical compoundses_ES
dc.titleConcomitant prediction of environmental fate and toxicity of chemical compoundses_ES
dc.typeartículo científicoes_ES
dc.identifier.doi10.1093/biomethods/bpaa025
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Productos Naturales (CIPRONA)es_ES


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