Bioinformatic Studies for the Identification of Possible Therapeutic Targets in Amyotrophic Lateral Sclerosis (ALS) Disease BIOINFORMATIC STUDIES FOR THE IDENTIFICATION OF POSSIBLE THERAPEUTIC TARGETS IN AMYOTROPHIC LATERAL SCLEROSIS (ALS) DISEASE

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Iván López Pérez
Alex Valencia Silva
Luis Varela Polit
Cristian Fernando Galarza

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by the progressive loss of neurons in different areas of the central nervous system, which in a short time causes the death of the patient. Biological databases such as MalaCards, Online Mendelian Inheritance in Man (OMIM), Harmonizome and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used, the most relevant genes were grouped according to the dysfunction they cause in the genes and according to the score value assigned in each of them. Twenty-six elite genes were selected from which interaction networks were designed to identify the most important connections between the proteins synthesized by these genes. From these pathways, genes following SOD1 gene mutations were chosen to select the domains that meet the best drugability criteria and through a virtual screening the domains that offer the best conditions for ligand binding that could later be transformed into potential drugs were selected; these receptors were validated using the DrugBank database. The Valosin Containing Protein (VCP) and VAMP Associated Protein B and C (VAPB) genes were identified as the most important genes related to the disease, and the protein receptors Transitional endoplasmatic reticulum and Vesicle-associated membrane protein-associated protein B/C together with their targets, Saquinavir and Astemizole, two commercial drugs whose toxicological properties were analyzed to ensure their applicability. Saquinavir presented better properties in the evaluation of Quantitative Structure-Activity Ratio (QSAR) and Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) properties, on the other hand, Astemizole exhibited greater stability since it presents hydrogen bonding, which is responsible for providing this characteristic to the binding.

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How to Cite
López Pérez, I., Valencia Silva, A., Varela Polit, L., & Galarza, C. F. (2023). Bioinformatic Studies for the Identification of Possible Therapeutic Targets in Amyotrophic Lateral Sclerosis (ALS) Disease: BIOINFORMATIC STUDIES FOR THE IDENTIFICATION OF POSSIBLE THERAPEUTIC TARGETS IN AMYOTROPHIC LATERAL SCLEROSIS (ALS) DISEASE. Alimentos Ciencia E Ingeniería, 30(1), 1–26. https://doi.org/10.31243/aci.v30i1.2034
Section
Artículos de investigación

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