Literature DB >> 27490863

Multi-Server Approach for High-Throughput Molecular Descriptors Calculation based on Multi-Linear Algebraic Maps.

César R García-Jacas1,2, Longendri Aguilera-Mendoza3, Reisel González-Pérez3, Yovani Marrero-Ponce4,5,6, Liesner Acevedo-Martínez3, Stephen J Barigye7,8, Tatiana Avdeenko9.   

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 T-arenal 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 QuBiLS-MIDAS software. To illustrate the usability of the T-arenal platform, performance tests over a dataset comprised of 15 000 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, Weinheim.

Keywords:  3D N-linear algebraic descriptors; Distributed computing system; Multi-server architecture; Platform of distributed tasks; QuBiLS-MIDAS; T-arenal; TOMOCOMD-CARDD

Mesh:

Year:  2014        PMID: 27490863     DOI: 10.1002/minf.201400086

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  3 in total

1.  Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.

Authors:  César R García-Jacas; Ernesto Contreras-Torres; Yovani Marrero-Ponce; Mario Pupo-Meriño; Stephen J Barigye; Lisset Cabrera-Leyva
Journal:  J Cheminform       Date:  2016-02-25       Impact factor: 5.514

2.  QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations.

Authors:  José R Valdés-Martiní; Yovani Marrero-Ponce; César R García-Jacas; Karina Martinez-Mayorga; Stephen J Barigye; Yasser Silveira Vaz d'Almeida; Hai Pham-The; Facundo Pérez-Giménez; Carlos A Morell
Journal:  J Cheminform       Date:  2017-06-07       Impact factor: 5.514

3.  Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs).

Authors:  César R García-Jacas; Lisset Cabrera-Leyva; Yovani Marrero-Ponce; José Suárez-Lezcano; Fernando Cortés-Guzmán; Mario Pupo-Meriño; Ricardo Vivas-Reyes
Journal:  J Cheminform       Date:  2018-10-25       Impact factor: 5.514

  3 in total

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