Current Proceedings on Technology
Yazarlar: Ionel Muscalagiu, Anca Iordan, Mihaela Osaci, Manuela Pănoiu
Konular:-
Anahtar Kelimeler:Protein folding,Multi-agent systems,Distributed constraint programming,Asynchronous searching techniques,Netlogo
Özet: The protein folding problem is one of the most challenging problems in biochemistry and is an important problem in bioinformatics. The Protein Structure Prediction Problem consists in predicting of the 3D native conformation of a protein, when its sequence of aminoacids is known. All current computer models of the problem are limited by the processing performance of actual computers.The previous research offers few approaches that make use of multiagent systems to resolve this problem. In this paper we present an agent-based framework for protein structure prediction, composed by autonomous agents which collaborate in order to find a solution using Distributed Constraint Satisfaction Problem (DisCSP). Each amino acid of an input protein is viewed as an autonomous agent that communicates with others by transmitting messages. DisCSPs are composed of agents, each owning its local constraint network. Variables in different agents are connected by constraints, agents must assign values to their variables so that all constraints between agents are satisfied. In this article there was analysed the NetLogo environment with the purpose of building a general model of implementation and simulation for the protein structure prediction. We provide a first preliminary working example in open-source NetLogo, for this modeling.