Predicting toxicity properties through machine learning

It is currently known that the high power of a drug does not fully determine its efficacy. Several properties must also be considered, including absorption, distribution, metabolism, excretion and toxicity [8]. These are the ADME-Tox properties, which are fundamental in the discovery of new effective and safe drugs. Since ignoring these properties is the main cause of failure in the development of new drugs, it is understandable that some techniques arise, such as machine learning, which apply some predictor variables as molecular characteristics to obtain models to determine some of these ADME-Tox properties. In silico models are booming because of the exorbitant expenses involved in discovering a new drug using traditional trial-and-error methods [2], and they have proven to be an effective approach to increase efficiency in drug discovery and development processes. The objective of this study is to analyze the best current machine learning techniques for predicting toxicity as an ADME-Tox property

Sensorimotor characteristics in children with autism spectrum disorder

Objetivo: identificar las características sensorio-motoras de los niños con trastornos del espectro autista. Materiales y métodos: Se realizó un estudio descriptivo transversal en 38 niños con trastorno del espectro autista (TEA) que asisten a cuatro centros de rehabilitación; se realizó un muestreo no probabilístico por conveniencia. Para la evaluación se utilizó la batería de Vitor Da Fonseca para los niños de 4 a 12 años y la Escala Abreviada del Desarrollo para los niños de 3 años. Resultados: En este estudio se logró evidenciar que la mayoría de la población evaluada pertenece al género masculino. La población de tres años se observó en puntaje de alerta en las áreas motriz fina, motriz gruesa, audición- lenguaje y personal social, mediante la escala de Nelson Ortiz. Se observó de igual manera en los niños de 4 a 12 años deficiencias motoras a nivel de praxia fina, praxia global, noción del cuerpo y equilibrio. Y parámetros normales en el factor tonicidad. Conclusión: los niños y niñas con TEA presentan deficiencia en sus capacidades motrices, lo cual puede afectar el desempeño de actividades.Objective: To identify sensory-motor Children with autism spectrum disorder (ASD) Features. Materials and Methods: A cross-sectional and descriptive study was conducted in 38 children with autism spectrum disorder (ASD) who attend four rehabilitation centers. Participants’ were selected by convenience non-probabilistic sampling. For the evaluation, the Vitor Da Fonseca battery was used for children from 4 to 12 years old and the Abbreviated Development Scale for children aged 3 years. Results: this study demonstrates that the majority of the evaluated population belongs to the masculine gender. In the three years population the Nelson Ortiz’s scale shows an alert score in fine motor, gross motor, hearing-language and social personnel areas. In the same way, children from 4 to 12 years old exhibited motor deficiencies at of fine praxia, global praxia, body notion and balance levels and normal parameters in the tonicity factor. Conclusion: Children with ASD deficient in SUS: motor skills, affecting Directly Learning Social Skills As part of its life cycle