Protein Prediction by Intelligent Algorithm

Protein prediction is a fundamental problem in biology the most application of solving this problem is drug design where we search for a special shape to interaction of protein. In this paper we want to solve this problem in 2D environment as same as method of navigation for robot. In others word, this problem is similar to know the best optimal structure of path of a robot which meeting a predetermined zero and one sequence. The goal of our robot is to have an optimal structure of this string that has the most number of one, one neighborly. The number of 1,1 neighborhoods expresses the number of H.H bonds, moreover the more number of H.H bonds, gives the minimum of energy and in finally the stable structure of hydrophobic, polar bonds. We present some rules in navigation and then move our robot. We want to have maximum numbers of 1.1 closely to have a stable protein. This work has many opportunities to be extended.