BIOPACMAS: a personalized, adaptive, and cooperative multiagent system for predicting protein secondary structure

Authors:
Giuliano Armano;Gianmaria Mancosu;Alessandro Orro;Massimiliano Saba;Eloisa Vargiu
Affiliations:
University of Cagliari, Cagliari, Italy;Shardna Life Sciences, Cagliari, Italy;University of Cagliari, Cagliari, Italy;University of Cagliari, Cagliari, Italy;University of Cagliari, Cagliari, Italy
Venue:
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

In this paper, we illustrate an application aimed at predicting protein secondary structure. The proposed system has been devised using PACMAS, a generic architecture designed to support the implementation of applications explicitly tailored for information retrieval tasks. PACMAS agents are autonomous and flexible, and can be personalized, adaptive and cooperative depending on the given application. To investigate the performance of the proposed approach, preliminary experiments have been performed on sequences taken from well-known protein databases.