Literature DB >> 16772270

Agents in bioinformatics, computational and systems biology.

Emanuela Merelli1, Giuliano Armano, Nicola Cannata, Flavio Corradini, Mark d'Inverno, Andreas Doms, Phillip Lord, Andrew Martin, Luciano Milanesi, Steffen Möller, Michael Schroeder, Michael Luck.   

Abstract

The adoption of agent technologies and multi-agent systems constitutes an emerging area in bioinformatics. In this article, we report on the activity of the Working Group on Agents in Bioinformatics (BIOAGENTS) founded during the first AgentLink III Technical Forum meeting on the 2nd of July, 2004, in Rome. The meeting provided an opportunity for seeding collaborations between the agent and bioinformatics communities to develop a different (agent-based) approach of computational frameworks both for data analysis and management in bioinformatics and for systems modelling and simulation in computational and systems biology. The collaborations gave rise to applications and integrated tools that we summarize and discuss in context of the state of the art in this area. We investigate on future challenges and argue that the field should still be explored from many perspectives ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages to be used by information agents, and to the adoption of agents for computational grids.

Mesh:

Year:  2006        PMID: 16772270     DOI: 10.1093/bib/bbl014

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  14 in total

Review 1.  Hybrid modelling of biological systems: current progress and future prospects.

Authors:  Fei Liu; Monika Heiner; David Gilbert
Journal:  Brief Bioinform       Date:  2022-05-13       Impact factor: 13.994

2.  The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process.

Authors:  Erick Antezana; Mikel Egaña; Ward Blondé; Aitzol Illarramendi; Iñaki Bilbao; Bernard De Baets; Robert Stevens; Vladimir Mironov; Martin Kuiper
Journal:  Genome Biol       Date:  2009-05-29       Impact factor: 13.583

Review 3.  Interpreting endocrine disruption from an integrative biology perspective.

Authors:  Ana M Soto; Beverly S Rubin; Carlos Sonnenschein
Journal:  Mol Cell Endocrinol       Date:  2009-03-09       Impact factor: 4.102

4.  Modeling formalisms in Systems Biology.

Authors:  Daniel Machado; Rafael S Costa; Miguel Rocha; Eugénio C Ferreira; Bruce Tidor; Isabel Rocha
Journal:  AMB Express       Date:  2011-12-05       Impact factor: 3.298

5.  Multi-dimensional, mesoscopic Monte Carlo simulations of inhomogeneous reaction-drift-diffusion systems on graphics-processing units.

Authors:  Matthias Vigelius; Bernd Meyer
Journal:  PLoS One       Date:  2012-04-10       Impact factor: 3.240

6.  Knowledge sharing in the health scenario.

Authors:  Magí Lluch-Ariet; Albert Brugués de la Torre; Francesc Vallverdú; Josep Pegueroles-Vallés
Journal:  J Transl Med       Date:  2014-11-28       Impact factor: 5.531

Review 7.  State of the art in silico tools for the study of signaling pathways in cancer.

Authors:  Vanessa Medina Villaamil; Guadalupe Aparicio Gallego; Isabel Santamarina Cainzos; Manuel Valladares-Ayerbes; Luis M Antón Aparicio
Journal:  Int J Mol Sci       Date:  2012-05-29       Impact factor: 6.208

8.  A Semantic Web for bioinformatics: goals, tools, systems, applications.

Authors:  Nicola Cannata; Michael Schröder; Roberto Marangoni; Paolo Romano
Journal:  BMC Bioinformatics       Date:  2008-04-25       Impact factor: 3.169

9.  A Semantic Web management model for integrative biomedical informatics.

Authors:  Helena F Deus; Romesh Stanislaus; Diogo F Veiga; Carmen Behrens; Ignacio I Wistuba; John D Minna; Harold R Garner; Stephen G Swisher; Jack A Roth; Arlene M Correa; Bradley Broom; Kevin Coombes; Allen Chang; Lynn H Vogel; Jonas S Almeida
Journal:  PLoS One       Date:  2008-08-13       Impact factor: 3.240

Review 10.  Investigating biocomplexity through the agent-based paradigm.

Authors:  Himanshu Kaul; Yiannis Ventikos
Journal:  Brief Bioinform       Date:  2013-11-12       Impact factor: 11.622

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