Jogo Computacional no Dobramento de Proteínas: Descoberta de Conhecimento com o Auxílio da Inteligência Humana

Abstract

Proteins play a fundamental role in the nature and the discovery of their functionalities and behaviors, raise the interest in several areas. Therefore, this study aims to search for knowledge of protein folding techniques through human intelligence using protein structures in the HP model. Data were acquired through a serious game where they were tested by two statistical data mining algorithms to extract possible rules: decision trees and Naıve Bayes. With this study, some rules were obtained and we concluded that it is possible to acquire protein folding rules through human intelligence.