Use of a neuron-glia genome-scale metabolic reconstruction to model the metabolic consequences of the Arylsulphatase a deficiency through a systems biology approach.

Autor: Echeverri-Peña OY; Institute for the Study of Inborn Errors of Metabolism, Faculty of Science, Pontificia Universidad Javeriana, Bogotá D.C., Colombia., Salazar-Barreto DA; Centro para la Optimización y Probabilidad Aplicada (COPA), Department of Industrial Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá D.C., Colombia.; Grupo de Bioquímica Computacional, Estructural y Bioinformática, Department of Nutrition and Biochemistry, Faculty of Science, Pontificia Universidad Javeriana, Bogotá, Colombia., Rodríguez-Lopez A; Institute for the Study of Inborn Errors of Metabolism, Faculty of Science, Pontificia Universidad Javeriana, Bogotá D.C., Colombia.; Licenciatura en Química, Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia.; Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia (FIDIC), Bogotá D.C., Colombia., González J; Grupo de Bioquímica Computacional, Estructural y Bioinformática, Department of Nutrition and Biochemistry, Faculty of Science, Pontificia Universidad Javeriana, Bogotá, Colombia., Alméciga-Díaz CJ; Institute for the Study of Inborn Errors of Metabolism, Faculty of Science, Pontificia Universidad Javeriana, Bogotá D.C., Colombia., Verano-Guevara CH; Licenciatura en Química, Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia., Barrera LA; Institute for the Study of Inborn Errors of Metabolism, Faculty of Science, Pontificia Universidad Javeriana, Bogotá D.C., Colombia.; Clínica de Errores Innatos del Metabolismo, Hospital Universitario San Ignacio, Bogotá D.C., Colombia.

Publikováno v: Heliyon [Heliyon] 2021 Jul 27; Vol. 7 (7), pp. e07671. Date of Electronic Publication: 2021 Jul 27 (Print Publication: 2021).