Multi-server approach for high-throughput molecular descriptors calculation based on multi-linear algebraic maps
datacite.rights | http://purl.org/coar/access_right/c_16ec | |
dc.creator | García-Jacas C.R. | |
dc.creator | Aguilera-Mendoza, L. | |
dc.creator | González-Pérez R. | |
dc.creator | Marrero-Ponce Y. | |
dc.creator | Acevedo-Martínez L. | |
dc.creator | Barigye S.J. | |
dc.creator | Avdeenko T. | |
dc.date.accessioned | 2020-03-26T16:32:48Z | |
dc.date.available | 2020-03-26T16:32:48Z | |
dc.date.issued | 2015 | |
dc.description.abstract | The present report introduces a novel module of the QuBiLS-MIDAS software for the distributed computation of the 3D Multi-Linear algebraic molecular indices. The main motivation for developing this module is to deal with the computational complexity experienced during the calculation of the descriptors over large datasets. To accomplish this task, a multi-server computing platform named Tarenal was developed, which is suited for institutions with many workstations interconnected through a local network and without resources particularly destined for computation tasks. This new system was deployed in 337 workstations and it was perfectly integrated with the QuBiLSMIDAS software. To illustrate the usability of the T-arenal platform, performance tests over a dataset comprised of 15000 compounds are carried out, yielding a 52 and 60 fold reduction in the sequential processing time for the 2-Linear and 3-Linear indices, respectively. Therefore, it can be stated that the T-arenal based distribution of computation tasks constitutes a suitable strategy for performing high-throughput calculations of 3D Multi-Linear descriptors over thousands of chemical structures for posterior QSAR and/or ADME-Tox studies. © 2015 Wiley-VCH Verlag GmbH & Co. KGaA. | eng |
dc.format.medium | Recurso electrónico | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Molecular Informatics; Vol. 34, Núm. 1; pp. 60-69 | |
dc.identifier.doi | 10.1002/minf.201400086 | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | |
dc.identifier.issn | 18681743 | |
dc.identifier.orcid | 56189852800 | |
dc.identifier.orcid | 56035076700 | |
dc.identifier.orcid | 56482981200 | |
dc.identifier.orcid | 55665599200 | |
dc.identifier.orcid | 56483284000 | |
dc.identifier.orcid | 55363486500 | |
dc.identifier.orcid | 6508351205 | |
dc.identifier.reponame | Repositorio UTB | |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/9031 | |
dc.language.iso | eng | |
dc.publisher | Wiley-VCH Verlag | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921050627&doi=10.1002%2fminf.201400086&partnerID=40&md5=657413650a04d6f20e9d1896f3671f51 | |
dc.subject.keywords | 3D N-linear algebraic descriptors | |
dc.subject.keywords | Distributed computing system | |
dc.subject.keywords | Multi-server architecture | |
dc.subject.keywords | Platform of distributed tasks | |
dc.subject.keywords | QuBiLS-MIDAS | |
dc.subject.keywords | T-arenal | |
dc.subject.keywords | TOMOCOMD-CARDD | |
dc.subject.keywords | Algorithm | |
dc.subject.keywords | Article | |
dc.subject.keywords | Calculation | |
dc.subject.keywords | Chemical structure | |
dc.subject.keywords | Communication protocol | |
dc.subject.keywords | Mathematics | |
dc.subject.keywords | Performance | |
dc.subject.keywords | Priority journal | |
dc.subject.keywords | Quantitative structure activity relation | |
dc.subject.keywords | Software | |
dc.subject.keywords | Theoretical model | |
dc.subject.keywords | Models, Theoretical | |
dc.subject.keywords | Software | |
dc.title | Multi-server approach for high-throughput molecular descriptors calculation based on multi-linear algebraic maps | |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.type.spa | Artículo | |
dcterms.bibliographicCitation | Brown, F.K., (1998) Annu. Rep. Med. Chem., 33, pp. 375-384 | |
dcterms.bibliographicCitation | Engel, T., (2006) J. Chem. Inf. Comput. Sci., 46, pp. 2267-2277 | |
dcterms.bibliographicCitation | Todeschini, R., Consonni, V., (2009) Molecular Descriptors for Chemoinformatics, 1. , 1edst edWILEY-VCH, Weinheim | |
dcterms.bibliographicCitation | (2010) DRAGON, V 6.0, , Milano Chemometrics and QSAR Research Group, Milano, Italy | |
dcterms.bibliographicCitation | Hong, H., Xie, Q., Ge, W., Qian, F., Fang, H., Shi, L., Su, Z., Tong, W., (2008) J. Chem. Inf. Comput. Sci., 48, pp. 1337-1344 | |
dcterms.bibliographicCitation | (2008) BlueDesk, , University of Tübingen, Tübingen, Germany | |
dcterms.bibliographicCitation | Liu, K., Feng, J., Young, S.S., (2005) J. Chem. Inf. Model., 45, pp. 515-522 | |
dcterms.bibliographicCitation | Yap, C.W., (2011) J. Comput. Chem., 32, pp. 1466-1474 | |
dcterms.bibliographicCitation | CODESSA III, , Semichen, Shawnee, USA | |
dcterms.bibliographicCitation | ADRIANA.Code, , Molecular Networks GmbH, Erlangen, Germany | |
dcterms.bibliographicCitation | (2002) MODESLAB, V1.5, , MODesLab.com | |
dcterms.bibliographicCitation | Molconn-Z, V4.10, , Hall Associates Consulting - Molconn.com, Quincy, MA, USA | |
dcterms.bibliographicCitation | Guha, R., CDK Descriptor Calculator GUI, V1.3.9 | |
dcterms.bibliographicCitation | García-Jacas, C.R., Marrero-Ponce, Y., Acevedo-Martínez, L., Barigye, S.J., Valdés-Martiní, J.R., Contreras-Torres, E., (2014) J. Comput. Chem., 35, pp. 1395-1409 | |
dcterms.bibliographicCitation | García-Jacas, C.R., Marrero-Ponce, Y., Barigye, S.J., Valdés-Martiní, J.R., Rivera-Borroto, O.M., Verbel, J.O., (2014) Curr. Drug Metab., 15, pp. 441-469 | |
dcterms.bibliographicCitation | Marrero-Ponce, Y., García-Jacas, C.R., Barigye, S.J., Valdés-Martiní, J.R., Rivera-Borroto, O.M., Pino-Urias, R.W., Cubillán, N., Alvarado, Y.J., (2014) Curr. Bioinf., , in press | |
dcterms.bibliographicCitation | Godden, J.W., Stahura, F.L., Bajorath, J., (2000) J. Chem. Inf. Comput. Sci., 40, pp. 796-800 | |
dcterms.bibliographicCitation | Mardia, K.V., Kent, J.T., Bibby, J.M., (1979) Multivariate Analysis, , Academic Press, London | |
dcterms.bibliographicCitation | Sutherland, J.J., O'Brien, L.A., Weaver, D.F., (2004) J. Med. Chem., 47, pp. 5541-5554 | |
dcterms.bibliographicCitation | Bonachéra, F., Horvath, D., (2008) J. Chem. Inf. Model., 48, pp. 409-425 | |
dcterms.bibliographicCitation | Tosco, P., Balle, T., (2011) J. Chem. Inf. Model., 52, pp. 302-307 | |
dcterms.bibliographicCitation | Hinselmann, G., Rosenbaum, L., Jahn, A., Fechner, N., Zell, A., (2011) J. Cheminf., 3, p. 3 | |
dcterms.bibliographicCitation | Klamt, A., Thormann, M., Wichmann, K., Tosco, P., (2012) J. Chem. Inf. Model., 52, pp. 2157-2164 | |
dcterms.bibliographicCitation | Anderson, D.P., (2004) Proc. Fifth IEEE/ACM Int. Workshop on Grid Computing, pp. 4-10. , IEEE | |
dcterms.bibliographicCitation | Anderson, D.P., Korpela, E., Walton, R., (2005) First Int. Conf. e-Science and Grid Computing, pp. 203-211. , IEEE, Melbourne, Vic | |
dcterms.bibliographicCitation | Cirne, W., Brasileiro, F., Andrade, N., Costa, L., Andrade, A., Novaes, R., Mowbray, M., (2006) J Grid Comp., 4, pp. 225-246 | |
dcterms.bibliographicCitation | Lam, C., (2010) Hadoop in Action, , Manning Publications Co., Greenwich, CT, USA | |
dcterms.bibliographicCitation | Keane, T., Allen, R., Naughton, T.J., McInerney, J., Waldron, J., (2003) Scientific Engineering for Distributed Java Applications, 2604, pp. 122-131. , Eds: N. Guelfi, E. Astesiano, G. Reggio, Springer, Heidelberg | |
dcterms.bibliographicCitation | Keane, T., (2004), Thesis, National University of Ireland Maynooth | |
dcterms.bibliographicCitation | Marosi, A., Gombas, G., Balaton, Z., Kacsuk, P., Kiss, T., (2008) Making Grids Work, pp. 365-376. , Springer, US | |
dcterms.bibliographicCitation | Litzkow, M.J., Livny, M., Mutka, M.W., 8th Int. Conf. Distributed Comp. Syst. IEEE, San Jose, CA, 1988, pp. 104-111 | |
dcterms.bibliographicCitation | Neary, M., Phipps, A., Richman, S., Cappello, P., (2000) Euro-Par 2000 Parallel Processing, 1900, pp. 1231-1238. , Eds: A. Bode, T. Ludwig, W. Karl, R. Wism-ller, Springer, Heidelberg | |
dcterms.bibliographicCitation | Fedak, G., Germain, C., Neri, V., Cappello, F., (2001) Proc. First IEEE/ACM Int. Symp. Cluster Computing and the Grid, pp. 582-587. , IEEE, Brisbane, Qld | |
dcterms.bibliographicCitation | Domingues, P., Marques, P., Silva, L., (2005) Int. Conf. Workshops on Parallel Processing, pp. 469-476. , IEEE | |
dcterms.bibliographicCitation | Kondo, D., Taufer, M., Brooks, C., Casanova, H., Chien, A., (2004) Proc. 18th Int. Symp. Parallel Distributed Processing, p. 26. , IEEE | |
dcterms.bibliographicCitation | Keane, T.M., Naughton, T.J., (2005) Bioinformatics, 21, pp. 1705-1706 | |
dcterms.bibliographicCitation | Keane, T.M., Naughton, T.J., Travers, S.A., McInerney, J.O., McCormack, G., (2005) Bioinformatics, 20, pp. 969-974 | |
dcterms.bibliographicCitation | Page, A., Keane, T., Allen, R., Naughton, T.J., Waldron, J., (2003) Proc. 2nd Int. Conf. Principles and Practice of Programming in Java, pp. 191-194. , Computer Science Press, Inc., Kilkenny City, Ireland | |
dcterms.bibliographicCitation | Livny, M., Melman, M., (1982) SIGMETRICS Perform. Eval. Rev., 11, pp. 47-55 | |
dcterms.bibliographicCitation | Pitt, E., McNiff, K., (2001) Java.Rmi: The Remote Method Invocation Guide, , Addison-Wesley Longman, Boston, MA, USA | |
oaire.resourceType | http://purl.org/coar/resource_type/c_6501 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |