Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks
Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks
Mining of the chemical information in GRID environment
Future Generation Computer Systems - Special section: Data mining in grid computing environments
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
UNICORE deployment within the DEISA supercomputing grid infrastructure
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
Chemomentum - UNICORE 6 based infrastructure for complex applications in science and technology
Euro-Par'07 Proceedings of the 2007 conference on Parallel processing
Seamless access to the PL-Grid e-infrastructure using UNICORE middleware
Building a National Distributed e-Infrastructure - PL-Grid
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Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an important role in the drug discovery pipeline, which still is mostly done manually. The current paper describes the automated workflow support of the OpenMolGRID system and provides a case study for the automation of the QSPR model development process in the Grid.