Modelagem e Análise de Conformidade do Processo de Atracamento Molecular
Resumo
O processo de atracamento molecular é complexo, especialmente devido ao vocabulário especialista da área de bioinformática, podendo levar a problemas de interpretação entre os stakeholders do processo. O presente artigo propõe um modelo validado e verificado para o processo de atracamento molecular utilizando a Notação e Modelo de Processos de Negócio (BPMN), reconhecida como padrão pela OMG. O modelo de processo expõe um entendimento consensual - com base na literatura de Bioinformática e na opinião de especialistas de domínio - sobre como o processo deve ser definido e executado, e é utilizado como ponto de partida para uma análise de conformidade entre dois softwares existentes para realizar atracamento molecular.
Referências
Allweyer, T. (2010). BPMN 2.0. BoD.
Altman, R. B. and Dugan, J. M. (2005). Defining Bioinformatics and Structural Bioinformatics, pages 1–14. John Wiley Sons, Inc.
Ayutaya, N., Palungsuntikul, P., and Premchaiswadi, W. (2012). Heuristic mining: Adaptive process simplification in education. In ICT and Knowledge Engineering 2012 10th International Conference on, pages 221–227.
de Magalh˜aes, C. S., Almeida, D. M., Barbosa, H. J. C., and Dardenne, L. E. (2014). A dynamic niching genetic algorithm strategy for docking of highly flexible ligands. Information Sciences, pages 206–224.
Dhanik, A. and Kavraki, L. E. (2001). Protein–ligand interactions: Computational docking.
Dumas, M., Rosa, M. L., Mendling, J., and Reijers, H. A. (2013). Fundamentals of Business Process Management. Springer.
Gehrke, N. and Werner, M. (2013). Process mining.
Goncalves, J., Santoro, F., and Baiao, F. (2009). Business process mining from group stories. In Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on, pages 161–166.
Guedes, I. A., Magalh˜aes, C. S., and Dardenne, L. E. (2013). Receptor–ligand molecular docking. Biophysical Reviews, 6(1):75–87.
Mateja, K., Gregor, J., Marjan, H., and Gregor, P. (2015). Business process model and notation: The current state of affairs. Computer Science and Information Systems, 12:509, 539.
Mendling, J., Reijers, H. A., and van der Aalst, W. M. P. (2010). Seven process modeling guidelines (7pmg). Inf. Softw. Technol., 52(2):127–136.
Recker, J. C. (2010). Opportunities and constraints : the current struggle with bpmn. Business Process Management Journal, 16(1):181–201.
Rozinat, A. and van der Aalst, W. (2008). Conformance checking of processes based on monitoring real behavior. Information Systems, 33(1):64 – 95.
Santoro, F. M., Borges, M. R. S., and Pino, J. A. (2010). Acquiring knowledge on business processes from stakeholders’ stories. Adv. Eng. Inform., 24(2):138–148.
Trott, O. and Olson, A. J. (2010). Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading. Journal of Computational Chemistry 31, pages 455–461.
van der Aalst, W. M. P. (1999). Woflan: A petri-net-based workflow analyzer. Syst. Anal. Model. Simul., 35(3):345–357.
Van Nuffel, D., Mulder, H., and Van Kervel, S. (2009). Enhancing the formal foundations of bpmn by enterprise ontology. In Advances in Enterprise Engineering III, volume 34 of Lecture Notes in Business Information Processing, pages 115–129. Springer Berlin Heidelberg.
Altman, R. B. and Dugan, J. M. (2005). Defining Bioinformatics and Structural Bioinformatics, pages 1–14. John Wiley Sons, Inc.
Ayutaya, N., Palungsuntikul, P., and Premchaiswadi, W. (2012). Heuristic mining: Adaptive process simplification in education. In ICT and Knowledge Engineering 2012 10th International Conference on, pages 221–227.
de Magalh˜aes, C. S., Almeida, D. M., Barbosa, H. J. C., and Dardenne, L. E. (2014). A dynamic niching genetic algorithm strategy for docking of highly flexible ligands. Information Sciences, pages 206–224.
Dhanik, A. and Kavraki, L. E. (2001). Protein–ligand interactions: Computational docking.
Dumas, M., Rosa, M. L., Mendling, J., and Reijers, H. A. (2013). Fundamentals of Business Process Management. Springer.
Gehrke, N. and Werner, M. (2013). Process mining.
Goncalves, J., Santoro, F., and Baiao, F. (2009). Business process mining from group stories. In Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on, pages 161–166.
Guedes, I. A., Magalh˜aes, C. S., and Dardenne, L. E. (2013). Receptor–ligand molecular docking. Biophysical Reviews, 6(1):75–87.
Mateja, K., Gregor, J., Marjan, H., and Gregor, P. (2015). Business process model and notation: The current state of affairs. Computer Science and Information Systems, 12:509, 539.
Mendling, J., Reijers, H. A., and van der Aalst, W. M. P. (2010). Seven process modeling guidelines (7pmg). Inf. Softw. Technol., 52(2):127–136.
Recker, J. C. (2010). Opportunities and constraints : the current struggle with bpmn. Business Process Management Journal, 16(1):181–201.
Rozinat, A. and van der Aalst, W. (2008). Conformance checking of processes based on monitoring real behavior. Information Systems, 33(1):64 – 95.
Santoro, F. M., Borges, M. R. S., and Pino, J. A. (2010). Acquiring knowledge on business processes from stakeholders’ stories. Adv. Eng. Inform., 24(2):138–148.
Trott, O. and Olson, A. J. (2010). Autodock vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading. Journal of Computational Chemistry 31, pages 455–461.
van der Aalst, W. M. P. (1999). Woflan: A petri-net-based workflow analyzer. Syst. Anal. Model. Simul., 35(3):345–357.
Van Nuffel, D., Mulder, H., and Van Kervel, S. (2009). Enhancing the formal foundations of bpmn by enterprise ontology. In Advances in Enterprise Engineering III, volume 34 of Lecture Notes in Business Information Processing, pages 115–129. Springer Berlin Heidelberg.
Publicado
04/07/2016
Como Citar
BIAZUS, Miller; THOM, Lucinéia Heloísa; DORN, Márcio.
Modelagem e Análise de Conformidade do Processo de Atracamento Molecular. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 10. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 294-301.
ISSN 2763-8774.
DOI: https://doi.org/10.5753/bresci.2016.10012.
