BIOPACMAS: A Personalized, Adaptive, and Cooperative MultiAgent System for Predicting Protein Secondary Structure

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.

• Type: Conference
• Year: 2005
• Where: AIIA
• Authors: Giuliano Armano, Gianmaria Mancosu, Alessandro Orro, Massimiliano Saba, Eloisa Vargiu
• Keywords: AIIA 2005, Artificial Intelligence, Information Retrieval Tasks, Protein Secondary Structure, Well-known Protein Databases