Journal international d'intelligence d'essaim et de calcul évolutif

Abstrait

Bioinformatics and Artificial Intelligence Approaches for Unraveling Evolutionary Mechanisms in Taxonomic Groups of Neurohypophysial Hormones Family

Alberto F. de Oliveira Jr, Marcelo Querino Lima Afonso, Vasco Ariston Azevedo, Manuel Lemos

Together Oxytocin and Vasopressin set the neurohypophysial hormones that form a family of structurally and functionally related peptide hormones. However, the biological function of these proteins may vary depending on their taxonomic classification. In our study, using a broad of bioinformatics and machine learning techniques, we described the role of sets of coevolved amino acids in determining the taxonomic classes of neurohypophysial hormone sequences. Withal, it would be possible to correlate that certain taxonomic classes can still be classified from the presence of specific amino acids from these coevolved sets, bringing more light around how molecular evolution can describe the structure and function.